Table 1.
Glossary of network analysis terminology.
Fig 1.
Flow chart, step-by-step methodology.
Table 2.
List of NTDs in the scope with scientific and common names and the search string used for bibliometric searches.
Fig 2.
Flow chart, step-by-step results (with reference to results in Tables 3, 4 and 5).
Table 3.
Number of international NTD publications listed in SCOPUS from around the world and with author affiliations to Germany by diseases, as ordered by the number of publications with German affiliations.
Fig 3.
Worldwide connections between German research institutions and partners abroad.
Research networks are based on co-author networks affiliated with Germany, i.e., those covering publications with at least one co-author affiliated with a German institution; nodes (circles) indicate research institutions, and edges (colored lines) indicate co-authored publications between authors based at those institutions. The maps show research networks for (A) Leishmaniasis, (B) Schistosomiasis, (C) Chagas disease, (D) Sleeping Sickness and (E) Onchocerciasis.
Table 4.
Top 10 research institutions and Top 10 countries contributing to the German NTD research networks, as ranked per disease by the number of signatures (%) extracted from each publication.
Table 5.
Top 5 authors ranked by their number of publications, specific h-Index, betweenness centrality per disease network, including network parameters per disease network.
Fig 4.
Giant components of individual co-author networks.
Individual researcher networks are based on co-author networks affiliated with Germany for (A) Leishmaniasis, (B) Schistosomiasis, (C) Chagas disease, (D) Sleeping Sickness and (E) Onchocerciasis. The figure shows giant components, i.e., the components in the network that include the largest number of authors, and smaller components are not shown. The node size is scaled by betweenness centrality, and each node represents individual authors with more than two publications. Links between the nodes (edges) represent a co-authored publication. The 'Force Atlas' layout simulates repulsion forces between nodes, and thus the network spreads as far as the edges holding them together will allow, allowing for the interpretation of how closely authors are working together. For further explanation of network analysis terms, please see Table 1.
Fig 5.
All components of the individual co-author network for Chagas disease.
Giant components for Chagas disease, including all other, smaller components of the co-author network. The sizes of the nodes are scaled by betweenness centrality, and the nodes represent individual authors with more than two publications. Links between the nodes (edges) represent a co-authored publication.