Peer Review History

Original SubmissionJuly 20, 2024
Decision Letter - Rea Lavi, Editor

PONE-D-24-28845Effectiveness of Virtual Laboratory in Engineering Education: A Meta-AnalysisPLOS ONE

Dear Dr. Li,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Nov 21 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Rea Lavi

Academic Editor

PLOS ONE

Journal requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Thank you for stating the following financial disclosure:

“Major science and technology projects of Autonomous Region:

Integration and demonstration of key technologies for improving quality, increasing yield and processing comprehensive utilization of walnut

Item No. : (2021A02002-2)”

Please state what role the funders took in the study.  If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

If this statement is not correct you must amend it as needed.

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

3. When completing the data availability statement of the submission form, you indicated that you will make your data available on acceptance. We strongly recommend all authors decide on a data sharing plan before acceptance, as the process can be lengthy and hold up publication timelines. Please note that, though access restrictions are acceptable now, your entire data will need to be made freely accessible if your manuscript is accepted for publication. This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If you are unable to adhere to our open data policy, please kindly revise your statement to explain your reasoning and we will seek the editor's input on an exemption. Please be assured that, once you have provided your new statement, the assessment of your exemption will not hold up the peer review process.

4. Please include a separate caption for each figure in your manuscript.

5. As required by our policy on Data Availability, please ensure your manuscript or supplementary information includes the following:

A numbered table of all studies identified in the literature search, including those that were excluded from the analyses. 

For every excluded study, the table should list the reason(s) for exclusion. 

If any of the included studies are unpublished, include a link (URL) to the primary source or detailed information about how the content can be accessed.

A table of all data extracted from the primary research sources for the systematic review and/or meta-analysis. The table must include the following information for each study:

Name of data extractors and date of data extraction

Confirmation that the study was eligible to be included in the review. 

All data extracted from each study for the reported systematic review and/or meta-analysis that would be needed to replicate your analyses.

If data or supporting information were obtained from another source (e.g. correspondence with the author of the original research article), please provide the source of data and dates on which the data/information were obtained by your research group.

If applicable for your analysis, a table showing the completed risk of bias and quality/certainty assessments for each study or outcome.  Please ensure this is provided for each domain or parameter assessed. For example, if you used the Cochrane risk-of-bias tool for randomized trials, provide answers to each of the signalling questions for each study. If you used GRADE to assess certainty of evidence, provide judgements about each of the quality of evidence factor. This should be provided for each outcome. 

An explanation of how missing data were handled.

This information can be included in the main text, supplementary information, or relevant data repository. Please note that providing these underlying data is a requirement for publication in this journal, and if these data are not provided your manuscript might be rejected. 

6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

Thank you for submitting your manuscript.

Please revise your manuscript based on the reviewers' comments.

In particular, more work is required to explain your analysis methodology. Thank you.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Review for Effectiveness of Virtual Laboratory in Engineering Education: A Meta-Analysis

The authors have put together a meta-analysis of published research on the impacts and efficacy using simulated lab experiments as compared to physical experiments in the context of engineering education. This is a useful addition to the literature and worth exploring. Overall, the methods and findings are clear and understandable. There are few technical questions that should be addressed and a couple minor style and grammar issues.

Technical:

1. The authors’ goal of summarizing findings into the types of outcomes (academic achievement, skills, etc.) is very interesting. It seems to me that individual experiments may be very different from each other even when addressing the same type of outcome. I assume in these studies there are difference in data type such as quantitative versus qualitative, differences in assessment methods, and differences in protocol. Is the method of Hedge’s g able to help make statements about the effectiveness when the underlying studies are different? If so, I think this argument could be made stronger.

2. I did not understand the objective or reasoning for the analysis of moderator effect. Why where the categories of paper/author nation and year chosen? What was the intended goal of looking at these and what do they show? It seems that there is a fairly small number of studies from the different countries. Does that affect any meaning the reader is to understand from the moderator affect analysis results?

Some minor issues:

• Starting around the methods section, there are a few minor grammatical errors that don’t significantly affect the understanding but can be somewhat confusing or distracting.

• A few of the citations in the figures have formatting error question marks.

• In figure 4, the “L” classification is in two groups. Is there a reason for the separation? If so, that wasn’t conveyed in the paper.

Reviewer #2: You have carried out a large piece of work so well done for the same. It takes a lot of time and energy to carry out SLRs and meta-analysis even more so.

Your work has focussed on an area that is of interest to many engineering educators as laboratories are not always around for everything and also simulation based design is sometimes a great way to develop engineering systems rapidly and in a cost effective way.

The paper could be enhanced by following the following revisions and based on some of the revisions, you will need to demonstrate why this study is actually needed and has not been done in part before (and if so, take that into account and build the rationale for doing this study).

The areas that need improving are:

1) Use a framework (like PICO or other suitable) to frame your research questions, search terms, inclusion/exclusion criteria from the stated objectives as that will help in later organisation of the work. This will be particularly helpful in check list item 5 (how studies were grouped). Also for 10a and 10b in the checklist, this framework approach will help. you need to detail the same however.

2) Need to specify how the quality of the work shortlisted was assessed and how the work of shortlisting and quality assessment was shared with the authors (state clearly who did what and how did you maintain reliability where more than one author did the work). Interrater stats needed as multiple authors are implied to have worked here.

3) For 13a in the checklist - Tabulate each study showing its chars. And comment on how they were eligible for grouping and synthesis. Group studies in a separate table showing how your grouped them for synthesis. Show the full table for 13c.

4) what software was used to calculate statistics. There are standard software available, please use them to make it standard.

5) for 13f, Describe this better than its been done. Process is stated, no evaluation of the values has been presented.

6) for 17 and 18 on the checklist, you must provide this.

7) The discussion section (23 in checklist) is weak and needs more work.

The past SLRs in this areas must be reviewed in a new section thereby carving out the need for this work and what this adds to the body of lit. that other reviews dont already add.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 1

Responds to each point raised by the academic editor:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Respond: All figures, tables, and appendix have been named as required.

2. Thank you for stating the following financial disclosure:

“Major science and technology projects of Autonomous Region:

Integration and demonstration of key technologies for improving quality, increasing yield and processing comprehensive utilization of walnut

Item No. : (2021A02002-2)”

Please state what role the funders took in the study. If the funders had no role, please state: "The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

If this statement is not correct you must amend it as needed.

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

Respond: It has been stated as requested in the cover letter.

3. When completing the data availability statement of the submission form, you indicated that you will make your data available on acceptance. We strongly recommend all authors decide on a data sharing plan before acceptance, as the process can be lengthy and hold up publication timelines. Please note that, though access restrictions are acceptable now, your entire data will need to be made freely accessible if your manuscript is accepted for publication. This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If you are unable to adhere to our open data policy, please kindly revise your statement to explain your reasoning and we will seek the editor's input on an exemption. Please be assured that, once you have provided your new statement, the assessment of your exemption will not hold up the peer review process.

Respond: Agree to the data sharing plan.

4. Please include a separate caption for each figure in your manuscript.

Respond: A separate title has been added to each figure.

5. As required by our policy on Data Availability, please ensure your manuscript or supplementary information includes the following:

A numbered table of all studies identified in the literature search, including those that were excluded from the analyses.

For every excluded study, the table should list the reason(s) for exclusion.

If any of the included studies are unpublished, include a link (URL) to the primary source or detailed information about how the content can be accessed.

Respond: It has been added in the attachment named “Appendix 2. Publications identified in the literature search”.

A table of all data extracted from the primary research sources for the systematic review and/or meta-analysis. The table must include the following information for each study:

Name of data extractors and date of data extraction

Confirmation that the study was eligible to be included in the review.

All data extracted from each study for the reported systematic review and/or meta-analysis that would be needed to replicate your analyses.

If data or supporting information were obtained from another source (e.g. correspondence with the author of the original research article), please provide the source of data and dates on which the data/information were obtained by your research group.

Respond: It has been added in the attachment named “Appendix 1. All data extracted from the publications that meet the inclusion criteria”.

If applicable for your analysis, a table showing the completed risk of bias and quality/certainty assessments for each study or outcome. Please ensure this is provided for each domain or parameter assessed. For example, if you used the Cochrane risk-of-bias tool for randomized trials, provide answers to each of the signalling questions for each study. If you used GRADE to assess certainty of evidence, provide judgements about each of the quality of evidence factor. This should be provided for each outcome.

Respond: It has been added in the attachment named “Appendix 1. All data extracted from the publications that meet the inclusion criteria”.

An explanation of how missing data were handled.

Respond: There is no missing data.

6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Respond: No retracted papers were cited. Changes to the reference list have been highlighted.

Responds to each point raised by Reviewer #1:

1. The authors’ goal of summarizing findings into the types of outcomes (academic achievement, skills, etc.) is very interesting. It seems to me that individual experiments may be very different from each other even when addressing the same type of outcome. I assume in these studies there are difference in data type such as quantitative versus qualitative, differences in assessment methods, and differences in protocol. Is the method of Hedge’s g able to help make statements about the effectiveness when the underlying studies are different? If so, I think this argument could be made stronger.

Respond: Thanks for the valuable reviews. As you pointed out, even when addressing the same type of outcomes, there can be significant differences between individual experiments. Hedge's g is a common method used to measure effect size, especially when dealing with mean comparisons (such as differences between two groups). In this study, publications that are irrelevant to the theme and those based solely on students' subjective feedback (such as studies assessing the perceived usability and user satisfaction of various forms of virtual laboratories) have been excluded during the literature screening. Only studies that are relevant to the topic and based on objective assessment criteria (such as skill tests and examinations) and that employed a two-group research design were included. These efforts were made to ensure consistency in research outcomes and types of experiments. Additionally, the results from the sensitivity analysis in section Sensitivity analysis also indicated that the diversity of the studies did not affect the robustness of the results.

In response to the reviewers' comments, additional clarification has been provided in Section Abstract reading and full text sifting of the manuscript to ensure completeness and rigor in the discussion: publications that were irrelevant to the theme and those based solely on students’ subjective feedback (such as studies assessing the perceived usability and user satisfaction of various forms of virtual laboratories) were excluded. Ultimately, publications that aligned with the theme and were based on objective evaluation criteria (such as skill tests and exams) were included. These studies employed a two-group research design to compare the effects of various forms of virtual laboratories with traditional laboratories on engineering students. Additionally, these studies reported necessary descriptive summary statistics.

In addition, add the following explanation in section Sensitivity analysis: The overall effect size estimate (Hedges’ g) varies between approximately 0.590 and 0.789 when different studies are excluded, and the change magnitude is approximately 0.2. Thus, overall, the intervention has a positive and significant impact on the outcomes, and the change in effect size is relatively mild, with no significant fluctuations. That is to say, despite the methodological differences among various studies, the results demonstrate good robustness.

2. I did not understand the objective or reasoning for the analysis of moderator effect. Why where the categories of paper/author nation and year chosen? What was the intended goal of looking at these and what do they show? It seems that there is a fairly small number of studies from the different countries. Does that affect any meaning the reader is to understand from the moderator affect analysis results?

Respond: Thank you for raising this question. The reason for selecting country/region and publication year as variables for the moderating effect is to verify whether the context of different countries or regions influences the research results. Additionally, changes in the social environment over time and the continuous development of virtual experimental technologies may impact the research findings.

Reviewer’s suggestion is very insightful and highlights a flaw in my discussion. To ensure a more comprehensive discussion, additional clarification has been provided in Discussion section: Based on the analysis of moderator effect sizes, we have found that there are certain differences in effect sizes among different countries/regions and publication years. Publications from Nigeria show a significant effect size (2.995), while publications from the United States indicate an extremely low effect size (0.006). This suggests that there may be stronger factors or contextual conditions in Nigeria that make the relevant effects more pronounced, therefore, we speculate that the differences in effect sizes in our research perhaps due to the varying developments in social, economic, or cultural contexts across different countries. However, due to the limited number of studies from different countries, the analysis of the moderating effects in this research can only serve as a hypothesis and reference. We hope that future research will provide more reliable evidence on this issue.

Besides, the effect sizes based on publication year indicate that the recent study (2023) shows a higher effect size (2.340), while the study from 2004 displays a negative effect size (-0.311). This phenomenon often suggests that the latest research provides stronger support and evidence for the phenomenon of interest, which may be related to improvements in scientific research methods, enhanced data collection, and refined theories. In this meta-analysis, it is possible to infer that the technology of virtual laboratories has evolved over time, and there has been an increased attention to this research field. Although the analysis reveals the moderation effect of publication year, it remains important to consider the representativeness of the samples and the limitations of research design, such as potential selection bias and unequal sample sizes.

Some minor issues:

• Starting around the methods section, there are a few minor grammatical errors that don’t significantly affect the understanding but can be somewhat confusing or distracting.

• A few of the citations in the figures have formatting error question marks.

• In figure 4, the “L” classification is in two groups. Is there a reason for the separation? If so, that wasn’t conveyed in the paper.

Respond: To ensure the accuracy of language use, spelling, and grammar, we utilized the scientific editing services recommended by the journal, Editage, and have explicitly acknowledged this in the acknowledgments section. To distinguish the changes made to the content in this revision, the "Revised Manuscript with Track Changes" document highlights in yellow the modifications made by the authors in response to the reviewers' comments, and highlights in cyan the changes made to the language.

The question raised by the reviewer regarding the classification of "L" in Figure 4 into two groups is due to the involvement of multiple independent studies in some literature, necessitating a distinction in the forest plot. To address this issue, additional clarification has been included in Section Computation of summary effect sizes: It is worth noting that, due to the involvement of multiple independent studies in some publications, the following distinctions have been made in all the forest plots: a suffix of "A" indicates independent studies focused on students' Academic achievement; "O" indicates independent studies focused on students' Operational skill; "C" indicates independent studies on Cognitive ability; "K" indicates independent studies focused on students' Knowledge acquisition; "CL" indicates independent studies on students' Cognitive load; "L" indicates independent studies focused on students' Learning motivation; and "E" indicates independent studies focused on students' Learning Engagement. If the same publication involves multiple similar studies, add Arabic numerals after the uppercase letter suffix for differentiation.

Responds to each point raised by Reviewer #2:

The paper could be enhanced by following the following revisions and based on some of the revisions, you will need to demonstrate why this study is actually needed and has not been done in part before (and if so, take that into account and build the rationale for doing this study).

1) Use a framework (like PICO or other suitable) to frame your research questions, search terms, inclusion/exclusion criteria from the stated objectives as that will help in later organisation of the work. This will be particularly helpful in check list item 5 (how studies were grouped). Also for 10a and 10b in the checklist, this framework approach will help. you need to detail the same however.

Respond: I appreciate the reviewer’s constructive feedback; it has been very helpful to me. Based on the review comments, in section Define inclusion and exclusion, the application of the PICO framework is explained for constructing the research questions, search terms, and the inclusion/exclusion criteria derived from the established objectives of this study.

2) Need to specify how the quality of the work shortlisted was assessed and how the work of shortlisting and quality assessment was shared with the authors (state clearly who did what and how did you maintain reliability where more than one author did the work). Interrater stats needed as multiple authors are implied to have worked here.

Respond: Based on the review comments, in section Abstract reading and full text sifting, we describe the division of work, reliability maintenance, and feedback on results used in the literature inclusion/exclusion review.

3) For 13a in the checklist - Tabulate each study showing its chars. And comment on how they were eligible for grouping and synthesis. Group studies in a separate table showing how your grouped them for synthesis. Show the full table for 13c.

Respond: It has been added in the attachment named “Appendix 2. Publications identified in the literature search” and “Appendix 1. All data extracted from the publications that meet the inclusion criteria”. The "Appendix 1. All data extracted from the publications that meet the inclusion criteria" lists the intervention characteristics of each individual research, the types of outcomes used as subgroup classification criteria, the reasons for confirming that the individual study meets the screening criteria, and the risk of bias analysis.

4) what software was used to calculate statistics. There are standard software available, please use them to make it standard.

Respond: Based on the review comments, we have added a description of the literature management software EndNote X8 used to ensure the reliability of information filtering and statistical results in section Abstract reading and full text sifting. And we added the description that we used Comprehensive Meta Analysis software for data calculations and figure creation to ensure the reliability of the results in section Results.

5) for 13f, Describe this better than its been done. Process is stated, no evaluation of the values has been presented.

Respond: The evaluation of the values has been added in section Sensitivity analysis: Sensitivity analysis was performed to evaluate whether the pooled effect size was influenced by individual studies, that is, to assess the influence of

Attachments
Attachment
Submitted filename: Response to reviewers.docx
Decision Letter - Rea Lavi, Editor

Effectiveness of Virtual Laboratory in Engineering Education: A Meta-Analysis

PONE-D-24-28845R1

Dear Dr. Li,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Rea Lavi

Academic Editor

PLOS ONE

Additional Editor Comments:

Please make sure Tables 1-3 are all easily readable, and also match in style and text size.

Formally Accepted
Acceptance Letter - Rea Lavi, Editor

PONE-D-24-28845R1

PLOS ONE

Dear Dr. Li,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Rea Lavi

Academic Editor

PLOS ONE

Open letter on the publication of peer review reports

PLOS recognizes the benefits of transparency in the peer review process. Therefore, we enable the publication of all of the content of peer review and author responses alongside final, published articles. Reviewers remain anonymous, unless they choose to reveal their names.

We encourage other journals to join us in this initiative. We hope that our action inspires the community, including researchers, research funders, and research institutions, to recognize the benefits of published peer review reports for all parts of the research system.

Learn more at ASAPbio .