Shea P. Gallagher, Vanya Vojvodic, Joshua Dilday, Stephen Park, Chaiss Ugarte, Patrick McGillen, Anastasia Plotkin, Gregory A Magee, Kenji Inaba, Matthew Martin
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The publications were reviewed for study focus, design, and contribution, and subsequently compared.\n\n\nRESULTS\nA total of 56,640 publications were identified. The top 100 DS papers were frequently published in J Vasc Sur (43%) and Eur J Vasc Endovasc Surg (13%). The top 100 CC papers were frequently published in N Engl J Med (32%) and J Vasc Sur (20%). The most cited article is the fifth most disruptive; the most disruptive article is not in the top 100 cited papers. The DS papers had a higher mean DS than the CC papers (.17 vs .0001, P < .0001). The CC papers had a higher mean CC than the DS papers (866 vs 188, P < .0001). DS and CC are weakly correlated metrics (r = .22, P = .03).\n\n\nDISCUSSION\nDS was weakly correlated with CC and captured a unique subset of literature that created paradigm shifts in vascular surgery. DS should be utilized as an adjunct to CC to avoid overlooking impactful research and influential researchers, and to measure true academic productivity.","PeriodicalId":325363,"journal":{"name":"The American Surgeon","volume":"12 8","pages":"31348241248804"},"PeriodicalIF":0.0000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Paradigm Shifts in Vascular Surgery: Analysis of the Top 100 Innovative and Disruptive Academic Publications.\",\"authors\":\"Shea P. Gallagher, Vanya Vojvodic, Joshua Dilday, Stephen Park, Chaiss Ugarte, Patrick McGillen, Anastasia Plotkin, Gregory A Magee, Kenji Inaba, Matthew Martin\",\"doi\":\"10.1177/00031348241248804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\nDisruption score (DS) is a novel bibliometric created to identify research that shifts paradigms, which may be overlooked by citation count (CC). 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引用次数: 0
摘要
背景中断评分(Disruption score,DS)是一种新颖的文献计量学方法,用于识别可能被引文次数(CC)忽略的改变研究范式的研究。我们分析了血管外科中最具破坏性的文献与被引次数最多的文献,并假设DS与CC并不相关。这些出版物与 iCite NIH 工具和 DS 算法相连接,以分别确定 CC 和 DS 排名前 100 位的研究。对这些出版物的研究重点、设计和贡献进行了审查,随后进行了比较。排名前 100 的 DS 论文经常发表在《J Vasc Sur》(43%)和《Eur J Vasc Endovasc Surg》(13%)上。前100篇CC论文经常发表在《N Engl J Med》(32%)和《J Vasc Sur》(20%)上。被引用次数最多的文章是干扰性排名第五的文章;干扰性最强的文章不在被引用次数前 100 的论文之列。DS论文的平均DS值高于CC论文(.17 vs .0001,P < .0001)。CC论文的平均CC值高于DS论文(866 vs 188,P < .0001)。DS 和 CC 是弱相关指标(r = .22, P = .03)。DS 应作为 CC 的辅助指标,以避免忽略有影响力的研究和有影响力的研究人员,并衡量真正的学术生产力。
Paradigm Shifts in Vascular Surgery: Analysis of the Top 100 Innovative and Disruptive Academic Publications.
BACKGROUND
Disruption score (DS) is a novel bibliometric created to identify research that shifts paradigms, which may be overlooked by citation count (CC). We analyzed the most disruptive, compared to the most cited, literature in vascular surgery, and hypothesized that DS and CC would not correlate.
METHODS
A PubMed search identified vascular surgery publications from 1954 to 2014. The publications were linked to the iCite NIH tool and DS algorithm to identify the top 100 studies by CC and DS, respectively. The publications were reviewed for study focus, design, and contribution, and subsequently compared.
RESULTS
A total of 56,640 publications were identified. The top 100 DS papers were frequently published in J Vasc Sur (43%) and Eur J Vasc Endovasc Surg (13%). The top 100 CC papers were frequently published in N Engl J Med (32%) and J Vasc Sur (20%). The most cited article is the fifth most disruptive; the most disruptive article is not in the top 100 cited papers. The DS papers had a higher mean DS than the CC papers (.17 vs .0001, P < .0001). The CC papers had a higher mean CC than the DS papers (866 vs 188, P < .0001). DS and CC are weakly correlated metrics (r = .22, P = .03).
DISCUSSION
DS was weakly correlated with CC and captured a unique subset of literature that created paradigm shifts in vascular surgery. DS should be utilized as an adjunct to CC to avoid overlooking impactful research and influential researchers, and to measure true academic productivity.