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Artículo

Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science

Resumen

Co-authorship networks are widely used to evaluate the quality of scientific literature productions and collaborations between researchers and institutions. We identified a gap in the literature regarding the analysis of interactions between CNPq productivity fellows. To fill this gap, we used data science to characterize co-authorship networks to obtain a complementary overview of this critical public policy for promoting excellent research in Brazil. To this end, we collected 12,345 researchers’ Lattes CVs and analyzed approximately 400,000 publications. The results showed greater collaboration in the higher strata of grants (e.g., 1A and 1B). Other research findings of interest are related to regional discrepancies and gender equity. The study contributes to a better understanding of the social dynamics of productivity grant recipients, supporting the evaluation of this relevant research promotion policy.
Liu, Qian (58043907500); Yang, Shijie (59167076100); Chen, HeCheng (57203946435)
Global trends and hotspots in the study of the effects of PM2.5 on ischemic stroke
2024
10.1186/s41043-024-00622-3
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202738639&doi=10.1186%2fs41043-024-00622-3&partnerID=40&md5=2f80b4bf91836970169230f4633fc742
Cerebrovascular Disease Department, Gansu Provincial Hospital, No.204 West Donggang Road, Gansu Province, Lanzhou, 730000, China; Key Laboratory of Cerebrovascular Disease of Gansu Province, Gansu Provincial Hospital, Gansu, Lanzhou, China; The First Clinical Medical College of Lanzhou University, Lanzhou, China
All Open Access; Gold Open Access
Scopus
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