{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:35:42Z","timestamp":1772930142707,"version":"3.50.1"},"reference-count":86,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T00:00:00Z","timestamp":1650499200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>Researchers cannot keep up with the volume of articles being published each year. In order to develop adequate expertise in a given field of study, students and early career scientists must be strategic in what they decide to read. Here we propose using citation network analysis to characterize the literature topology of a given area. We used the human aggression literature as our example. Our citation network analysis identified 15 research communities on aggression. The five largest communities were: \u201cmedia and video games\u201d, \u201cstress, traits and aggression\u201d, \u201crumination and displaced aggression\u201d, \u201crole of testosterone\u201d, and \u201csocial aggression\u201d. We examined the growth of these research communities over time, and we used graph theoretic approaches to identify the most influential papers within each community and the \u201cbridging\u201d articles that linked distinct communities to one another. Finally, we also examined whether our citation network analysis would help mitigate gender bias relative to focusing on total citation counts. The percentage of articles with women first authors doubled when identifying influential articles by community structure versus citation count. Our approach of characterizing literature topologies using citation network analysis may provide a valuable resource for psychological scientists by outlining research communities and their growth over time, identifying influential papers within each community (including bridging papers), and providing opportunities to increase gender equity in the field.<\/jats:p>","DOI":"10.1371\/journal.pone.0266513","type":"journal-article","created":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T17:33:57Z","timestamp":1650562437000},"page":"e0266513","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Using citation network analysis to enhance scholarship in psychological science: A case study of the human aggression literature"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4279-5169","authenticated-orcid":true,"given":"Alessia","family":"Iancarelli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9620-4280","authenticated-orcid":true,"given":"Thomas F.","family":"Denson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5806-2093","authenticated-orcid":true,"given":"Chun-An","family":"Chou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0227-0816","authenticated-orcid":true,"given":"Ajay B.","family":"Satpute","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2022,4,21]]},"reference":[{"issue":"11","key":"pone.0266513.ref001","doi-asserted-by":"crossref","first-page":"2215","DOI":"10.1002\/asi.23329","article-title":"Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references","volume":"66","author":"L. 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