ArticlePLoS neglected tropical diseases2009
Co-authorship network analysis: a powerful tool for strategic planning of research, development and capacity building programs on neglected diseases.
Article in PLoS neglected tropical diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
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- Relevance of national, regional and global virome projects on pandemics prediction, prevention, and control: a social network analysis of GVP-citing articles.Memorias do Instituto Oswaldo Cruz · 2023Article
- Global Maps of Avian Leukosis Viruses: Research Trends and Themes Based on Networking.Veterinary sciences · 2022Article
- Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks.TheScientificWorldJournal · 2022Article
- Scientometric analysis of research on trachoma in Brazil, 2000-2020.Revista de saude publica · 2022Article
- Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels.Frontiers in public health · 2022Article
- Collaboration on evidence synthesis in Africa: a network study of growing research capacity.Health research policy and systems · 2021Article
- Research productivity and collaboration of the NIH-funded HIV vaccine trials network: A bibliometric analysis.Heliyon · 2021Article
- Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.PeerJ. Computer science · 2019Article
- Revisiting the concept of Innovative Developing Countries (IDCs) for its relevance to health innovation and neglected tropical diseases and for the prevention and control of epidemics.PLoS neglected tropical diseases · 2018Article
- South-south collaboration on HIV/AIDS prevention and treatment research: when birds of a feather rarely flock together.Globalization and health · 2018Article
- A decade bibliometric analysis of global research on leishmaniasis in Web of Science database.Annals of medicine and surgery (2012) · 2018Review
- Scientific authorship and collaboration network analysis on malaria research in Benin: papers indexed in the web of science (1996-2016).Global health research and policy · 2018Article
- The influence of past research on the design of experiments with dissolved organic matter and engineered nanoparticles.PloS one · 2018Article
- Analysing published global Ebola Virus Disease research using social network analysis.PLoS neglected tropical diseases · 2017Article
- Network analysis for science and technology management: Evidence from tuberculosis research in Fiocruz, Brazil.PloS one · 2017Article
- Dengue research networks: building evidence for policy and planning in Brazil.Health research policy and systems · 2016Article
- Scientific collaboration: a social network analysis based on literature of animal-derived regenerative implantable medical devices.Regenerative biomaterials · 2016Review
- Co-authorship network analysis in health research: method and potential use.Health research policy and systems · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNew approaches and tools were needed to support the strategic planning, implementation and management of a Program launched by the Brazilian Government to fund research, development and capacity building on neglected tropical diseases with strong focus on the North, Northeast and Center-West regions of the country where these diseases are prevalent. METHODOLOGY/PRINCIPAL
findingsBased on demographic, epidemiological and burden of disease data, seven diseases were selected by the Ministry of Health as targets of the initiative. Publications on these diseases by Brazilian researchers were retrieved from international databases, analyzed and processed with text-mining tools in order to standardize author- and institution's names and addresses. Co-authorship networks based on these publications were assembled, visualized and analyzed with social network analysis software packages. Network visualization and analysis generated new information, allowing better design and strategic planning of the Program, enabling decision makers to characterize network components by area of work, identify institutions as well as authors playing major roles as central hubs or located at critical network cut-points and readily detect authors or institutions participating in large international scientific collaborating networks. CONCLUSIONS/SIGNIFICANCE: Traditional criteria used to monitor and evaluate research proposals or R&D Programs, such as researchers' productivity and impact factor of scientific publications, are of limited value when addressing research areas of low productivity or involving institutions from endemic regions where human resources are limited. Network analysis was found to generate new and valuable information relevant to the strategic planning, implementation and monitoring of the Program. It afforded a more proactive role of the funding agencies in relation to public health and equity goals, to scientific capacity building objectives and a more consistent engagement of institutions and authors from endemic regions based on innovative criteria and parameters anchored on objective scientific data.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.