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E. Hirsch, the inventor of the h-index, by proposing a simple and seemingly robust approach for comparing the scientific productivity and visibility of institutions. Our main findings are that i) while the h-index is a sensible criterion for comparing scientists within a given field, it does not directly extend to rank institutions of disparate sizes and journals, ii) however, the h-index, which always increases with paper population, has an universal growth rate for large numbers of papers; iii) thus the h-index of a large population of papers can be decomposed into the product of an impact index and a factor depending on the population size, iv) as a complement to the h-index, this new impact index provides an interesting way to compare the scientific production of institutions (universities, laboratories or journals).", "publicationTitle": "Scientometrics", "publisher": "", "place": "", "date": "2008/04/01", "volume": "75", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "163-174", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Scientometrics", "DOI": "10.1007/s11192-007-1853-2", "citationKey": "", "url": "https://link.springer.com/article/10.1007/s11192-007-1853-2", "accessDate": "2017-03-02T15:08:21Z", "PMID": "", "PMCID": "", "ISSN": "0138-9130, 1588-2861", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "link.springer.com", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2017-03-02T15:08:21Z", "dateModified": "2017-03-02T15:08:21Z" } }, { "key": "C2SI7WJX", "version": 16, "library": { "type": "group", "id": 589955, "name": "University Assessment", "links": { "alternate": { "href": "https://www.zotero.org/groups/university_assessment", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/589955/items/C2SI7WJX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/university_assessment/items/C2SI7WJX", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/589955/items/97JBTN3H", "type": "application/json" } }, "meta": { "createdByUser": { "id": 446801, "username": "catsarli", "name": "Cathy Sarli", "links": { "alternate": { "href": "https://www.zotero.org/catsarli", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "C2SI7WJX", "version": 16, "parentItem": "97JBTN3H", "itemType": "attachment", "linkMode": "imported_url", "title": "PubMed Central Full Text PDF", "accessDate": "2017-03-02T15:07:15Z", "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2568842/pdf/mlab-96-04-324.pdf", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Hendrix - 2008 - An analysis of bibliometric indicators, National I.pdf", "md5": "93c6c1c800577d9613fcfeb5b2785fdb", "mtime": 1488467235351, "tags": [], "relations": {}, "dateAdded": "2017-03-02T15:07:15Z", "dateModified": "2017-03-02T15:07:16Z" } }, { "key": "97JBTN3H", "version": 14, "library": { "type": "group", "id": 589955, "name": "University Assessment", "links": { "alternate": { "href": "https://www.zotero.org/groups/university_assessment", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/589955/items/97JBTN3H", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/university_assessment/items/97JBTN3H", "type": "text/html" } }, "meta": { "createdByUser": { "id": 446801, "username": "catsarli", "name": "Cathy Sarli", "links": { "alternate": { "href": "https://www.zotero.org/catsarli", "type": "text/html" } } }, "creatorSummary": "Hendrix", "parsedDate": "2008-10", "numChildren": 2 }, "data": { "key": "97JBTN3H", "version": 14, "itemType": "journalArticle", "title": "An analysis of bibliometric indicators, National Institutes of Health funding, and faculty size at Association of American Medical Colleges medical schools, 1997–2007", "creators": [ { "creatorType": "author", "firstName": "Dean", "lastName": "Hendrix" } ], "abstractNote": "Objective:\nThe objective of this study was to analyze bibliometric data from ISI, National Institutes of Health (NIH)–funding data, and faculty size information for Association of American Medical Colleges (AAMC) member schools during 1997 to 2007 to assess research productivity and impact.\n\nMethods:\nThis study gathered and synthesized 10 metrics for almost all AAMC medical schools (n = 123): (1) total number of published articles per medical school, (2) total number of citations to published articles per medical school, (3) average number of citations per article, (4) institutional impact indices, (5) institutional percentages of articles with zero citations, (6) annual average number of faculty per medical school, (7) total amount of NIH funding per medical school, (8) average amount of NIH grant money awarded per faculty member, (9) average number of articles per faculty member, and (10) average number of citations per faculty member. Using principal components analysis, the author calculated the relationships between measures, if they existed.\n\nResults:\nPrincipal components analysis revealed 3 major clusters of variables that accounted for 91% of the total variance: (1) institutional research productivity, (2) research influence or impact, and (3) individual faculty research productivity. Depending on the variables in each cluster, medical school research may be appropriately evaluated in a more nuanced way. Significant correlations exist between extracted factors, indicating an interrelatedness of all variables. Total NIH funding may relate more strongly to the quality of the research than the quantity of the research. The elimination of medical schools with outliers in 1 or more indicators (n = 20) altered the analysis considerably.\n\nConclusions:\nThough popular, ordinal rankings cannot adequately describe the multidimensional nature of a medical school's research productivity and impact. This study provides statistics that can be used in conjunction with other sound methodologies to provide a more authentic view of a medical school's research. 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These artifacts have no meaning by themselves, but receive their meaning from attributions in institutional practices. We distinguish four main stakeholders in these practices: (1) producers of bibliometric data and indicators; (2) bibliometricians who develop and test indicators; (3) research managers who apply the indicators; and (4) the scientists being evaluated with potentially competing career interests. These different positions may lead to different and sometimes conflicting perspectives on the meaning and value of the indicators. The indicators can thus be considered as boundary objects which are socially constructed in translations among these perspectives. This paper proposes an analytical clarification by listing an informed set of (sometimes unsolved) problems in bibliometrics which can also shed light on the tension between simple but invalid indicators that are widely used (e.g., the h-index) and more sophisticated indicators that are not used or cannot be used in evaluation practices because they are not transparent for users, cannot be calculated, or are difficult to interpret.", "publicationTitle": "Scientometrics", "publisher": "", "place": "", "date": "2016/10/03", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "1-22", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Scientometrics", "DOI": "10.1007/s11192-016-2150-8", "citationKey": "", "url": "http://link.springer.com/article/10.1007/s11192-016-2150-8", "accessDate": "2016-10-14T12:29:04Z", "PMID": "", "PMCID": "", "ISSN": "0138-9130, 1588-2861", "archive": "", "archiveLocation": "", "shortTitle": "Professional 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