Research production in high-impact journals of contemporary neuroscience: A gender analysis
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DOI: 10.1016/j.joi.2016.12.007
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Cited by:
- Dewan F. Wahid & Elkafi Hassini, 2022. "A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis," SN Operations Research Forum, Springer, vol. 3(3), pages 1-42, September.
- Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2019. "A gender analysis of top scientists’ collaboration behavior: evidence from Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 405-418, August.
- Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
- Ann-Maree Vallence & Mark R Hinder & Hakuei Fujiyama, 2019. "Data-driven selection of conference speakers based on scientific impact to achieve gender parity," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-10, July.
- Sabrina J. Mayer & Justus M. K. Rathmann, 2018. "How does research productivity relate to gender? Analyzing gender differences for multiple publication dimensions," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1663-1693, December.
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Keywords
Neuroscience; Gender; Women; Scientific production; Collaboration patterns; Scientific impact;All these keywords.
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