{"title":"作者影响因子:一个评估作者身份和科学贡献的框架","authors":"B. Drolet, Alan T. Makhoul","doi":"10.37256/bsr.1120231114","DOIUrl":null,"url":null,"abstract":"In the decade since Hirsch defined h, there has been widespread acceptance of the h-index as a bibliometric indicator. Although the h-index has been validated in numerous applications and settings, the bibliometric has some important limitations. Most importantly, the h-index does not account for authors' individual contributions to manuscripts within their h-defining body of work. Since each author makes a variable contribution to a piece of scientific work, an author-adjusted index would more fairly reflect scholarly productivity. We propose the author impact factor (AIF), which accounts for authorship position and number of co-authors, to adjust the h-index and more fairly account for contributions to the body of scientific work. The AIF is calculated from the h-index and an author's proportional contribution (α) to each h-defining manuscript. The α is based on authorship position and the number of co-authors. Using the golden ratio (φ), the calculation of α for each h-index defining manuscript is simple and axiomatic. To demonstrate the utility of this index, we calculated the AIF for a sample of high-impact scientists. The results show that the AIF maintains all the benefits of the h-index while adjusting the bibliometric for author-specific factors. Therefore, AIF more accurately reflects total \"research output\" and can be used to better compare authors' scientific contributions.","PeriodicalId":298847,"journal":{"name":"Biostatistics Research","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Author Impact Factor: A Framework for Evaluating Authorship and Scientific Contribution\",\"authors\":\"B. Drolet, Alan T. Makhoul\",\"doi\":\"10.37256/bsr.1120231114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the decade since Hirsch defined h, there has been widespread acceptance of the h-index as a bibliometric indicator. Although the h-index has been validated in numerous applications and settings, the bibliometric has some important limitations. Most importantly, the h-index does not account for authors' individual contributions to manuscripts within their h-defining body of work. Since each author makes a variable contribution to a piece of scientific work, an author-adjusted index would more fairly reflect scholarly productivity. We propose the author impact factor (AIF), which accounts for authorship position and number of co-authors, to adjust the h-index and more fairly account for contributions to the body of scientific work. The AIF is calculated from the h-index and an author's proportional contribution (α) to each h-defining manuscript. The α is based on authorship position and the number of co-authors. Using the golden ratio (φ), the calculation of α for each h-index defining manuscript is simple and axiomatic. To demonstrate the utility of this index, we calculated the AIF for a sample of high-impact scientists. The results show that the AIF maintains all the benefits of the h-index while adjusting the bibliometric for author-specific factors. Therefore, AIF more accurately reflects total \\\"research output\\\" and can be used to better compare authors' scientific contributions.\",\"PeriodicalId\":298847,\"journal\":{\"name\":\"Biostatistics Research\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biostatistics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37256/bsr.1120231114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biostatistics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37256/bsr.1120231114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Author Impact Factor: A Framework for Evaluating Authorship and Scientific Contribution
In the decade since Hirsch defined h, there has been widespread acceptance of the h-index as a bibliometric indicator. Although the h-index has been validated in numerous applications and settings, the bibliometric has some important limitations. Most importantly, the h-index does not account for authors' individual contributions to manuscripts within their h-defining body of work. Since each author makes a variable contribution to a piece of scientific work, an author-adjusted index would more fairly reflect scholarly productivity. We propose the author impact factor (AIF), which accounts for authorship position and number of co-authors, to adjust the h-index and more fairly account for contributions to the body of scientific work. The AIF is calculated from the h-index and an author's proportional contribution (α) to each h-defining manuscript. The α is based on authorship position and the number of co-authors. Using the golden ratio (φ), the calculation of α for each h-index defining manuscript is simple and axiomatic. To demonstrate the utility of this index, we calculated the AIF for a sample of high-impact scientists. The results show that the AIF maintains all the benefits of the h-index while adjusting the bibliometric for author-specific factors. Therefore, AIF more accurately reflects total "research output" and can be used to better compare authors' scientific contributions.