{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:30:40Z","timestamp":1775035840091,"version":"3.50.1"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2014,5,8]],"date-time":"2014-05-08T00:00:00Z","timestamp":1399507200000},"content-version":"vor","delay-in-days":492,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc of Assoc for Info"],"published-print":{"date-parts":[[2013,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>It is well known that collaborative papers tend to receive more citations than solo\u2010authored papers. Here we try to identify the subtle factors of this collaborative effect by analyzing metadata and citation counts for co\u2010authored papers in the biomedical domain, after accounting for attributes known to be strong predictors of citation count. Article\u2010level metadata were gathered from 98,000 PubMed article records categorized with the term <jats:italic>breast neoplasm<\/jats:italic>, a topic offering longevity and relevance across biomedical subdisciplines, and yielding a relatively large sample size. Open access citation data was obtained from PubMed Central (PMC). Author\u2010level attributes were encoded from disambiguated author name data in PubMed and appended as article\u2010level attributes of collaborations. A logistic regression model was built to assess the relative weights of these factors as influences on citation counts. As expected, the journal and language of the paper were the strongest predictors. The significance of the number of authors diminished after accounting for other attributes. Some of the more subtle predictors included the group's highest h\u2010index, which was positively correlated, while the diversity of author h\u2010indices, minimum professional age, and author's total unique collaborators were negatively correlated. These observations indicate that smaller collaborations composed of early superstars \u2013 young, rapidly successful researchers with relatively high and similar h\u2010indices \u2013 may be at least as influential in biomedical research as larger collaborations with different demographics. While minimum h\u2010index was important, the first author's h\u2010index was insignificant, underscoring the importance of the middle authors' publishing history. The gender diversity outcomes suggest that mixed groups may be ideal, and further research in this area is indicated.<\/jats:p>","DOI":"10.1002\/meet.14505001070","type":"journal-article","created":{"date-parts":[[2014,5,8]],"date-time":"2014-05-08T16:35:28Z","timestamp":1399566928000},"page":"1-10","source":"Crossref","is-referenced-by-count":25,"title":["Deconstructing the collaborative impact: Article and author characteristics that influence citation count"],"prefix":"10.1002","volume":"50","author":[{"given":"Lori A.","family":"Hurley","sequence":"first","affiliation":[]},{"given":"Andrea L.","family":"Ogier","sequence":"additional","affiliation":[]},{"given":"Vetle I.","family":"Torvik","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2014,5,8]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10734-008-9139-z"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.respol.2005.01.014"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/smj.504"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-011-0051-5"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-011-0343-8"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-007-1892-8"},{"issue":"5","key":"e_1_2_6_9_1","doi-asserted-by":"crossref","first-page":"405","DOI":"10.3152\/095820209X481075","article-title":"Early\u2010Career Scientific Achievement and Patterns of Authorship: The Mixed Blessings of Publication Leadership and Collaboration","volume":"18","author":"Haslam N.","year":"2009","journal-title":"Research Evaluation"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0707962104"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0002778"},{"key":"e_1_2_6_12_1","doi-asserted-by":"crossref","unstructured":"Le Cessie S. &Van Houwelingen J.C.(1992).Ridge Estimators in Logistic Regression.Applied Statistics.41(1) 191\u2010201.","DOI":"10.2307\/2347628"},{"key":"e_1_2_6_13_1","volume-title":"Metrics for Openness","author":"Nichols D.","year":"2012"},{"key":"e_1_2_6_14_1","unstructured":"Quinlan R.(1993).C4.5: Programs for Machine Learning."},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/01615440903382177"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1121429109"},{"key":"e_1_2_6_17_1","unstructured":"Priem J. 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JCDL '13 July 22\u201026 Indianapolis IN USA. 199\u2010208.","DOI":"10.1145\/2467696.2467720"},{"issue":"5","key":"e_1_2_6_22_1","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1177\/0306312705052359","article-title":"The Impact of Research Collaboration on Scientific Productivity","volume":"35","author":"Sooho L.","year":"2005","journal-title":"Social Studies of Science"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-009-2126-z"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1287\/mksc.1050.0152"},{"key":"e_1_2_6_25_1","unstructured":"TorvikV.I. FegleyB.D. SmithB.N.(2013).Identifying biomedical author\u2010inventors by probabilistic disambiguation and linking names across PubMed and USPTO. 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