{"title":"从不同的免费或商业数据库计算的大型德国大学的领域标准化分数有多相似?","authors":"T. Scheidsteger, R. Haunschild, L. Bornmann","doi":"10.55835/6441118c643beb0d90fc543f","DOIUrl":null,"url":null,"abstract":"We compared field-normalized citation scores from the freely available bibliographic database OpenAlex with those from three commercial databases (Web of Science, Scopus, and Dimensions). The scores have been calculated for nearly 335,000 publications published by 48 German universities in four OECD subject areas between 2013 and 2017. We found varying but - overall - strong agreement according to Lin's concordance coefficient. We also calculated (aggregated) mean normalized citation scores for the 48 universities and found that the agreements across different databases are low. On the one hand, the results suggest that comparisons of universities using field-normalized citation scores across different databases should be avoided. On the other hand, the difference of the concordance coefficients on the paper and university level is a good example for the problem of ecological fallacy in bibliometrics: The mean impact is not representative for the single papers’ impact in the set.","PeriodicalId":334841,"journal":{"name":"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How similar are field-normalized scores from different free or commercial databases calculated for large German universities?\",\"authors\":\"T. Scheidsteger, R. Haunschild, L. Bornmann\",\"doi\":\"10.55835/6441118c643beb0d90fc543f\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We compared field-normalized citation scores from the freely available bibliographic database OpenAlex with those from three commercial databases (Web of Science, Scopus, and Dimensions). The scores have been calculated for nearly 335,000 publications published by 48 German universities in four OECD subject areas between 2013 and 2017. We found varying but - overall - strong agreement according to Lin's concordance coefficient. We also calculated (aggregated) mean normalized citation scores for the 48 universities and found that the agreements across different databases are low. On the one hand, the results suggest that comparisons of universities using field-normalized citation scores across different databases should be avoided. On the other hand, the difference of the concordance coefficients on the paper and university level is a good example for the problem of ecological fallacy in bibliometrics: The mean impact is not representative for the single papers’ impact in the set.\",\"PeriodicalId\":334841,\"journal\":{\"name\":\"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55835/6441118c643beb0d90fc543f\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55835/6441118c643beb0d90fc543f","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们比较了免费书目数据库OpenAlex和三个商业数据库(Web of Science、Scopus和Dimensions)的领域标准化引文得分。2013年至2017年,48所德国大学在经合组织的四个学科领域发表了近33.5万篇论文。根据林的协调系数,我们发现了不同但总体上很强的一致性。我们还计算了48所大学的平均标准化引文分数,发现不同数据库之间的一致性很低。一方面,研究结果表明,应避免在不同数据库中使用领域标准化引文分数对大学进行比较。另一方面,论文和大学水平的一致性系数的差异是文献计量学中生态谬误问题的一个很好的例子:平均影响不能代表单篇论文在集合中的影响。
How similar are field-normalized scores from different free or commercial databases calculated for large German universities?
We compared field-normalized citation scores from the freely available bibliographic database OpenAlex with those from three commercial databases (Web of Science, Scopus, and Dimensions). The scores have been calculated for nearly 335,000 publications published by 48 German universities in four OECD subject areas between 2013 and 2017. We found varying but - overall - strong agreement according to Lin's concordance coefficient. We also calculated (aggregated) mean normalized citation scores for the 48 universities and found that the agreements across different databases are low. On the one hand, the results suggest that comparisons of universities using field-normalized citation scores across different databases should be avoided. On the other hand, the difference of the concordance coefficients on the paper and university level is a good example for the problem of ecological fallacy in bibliometrics: The mean impact is not representative for the single papers’ impact in the set.