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- Data for: Predicting research excellence at the individual level: the importance of publication rate, top journal publications, and top 10% publications in the case of early career mathematiciansSee section 2.2 in the article for a description of the data.
- Data for: Count Citations by Section? Introduction, Background, Methods, Discussion, Results and ConclusionsData behind Figures 1 to 8
- Data for: Analyzing Linguistic Complexity and Scientific Impact by Using Null ModelsDatase used in 'Analyzing Linguistic Complexity and Scientific Impact'.
- Data for: Which Western Higher Educational Institutions Join ResearchGate and what Affects their RG Scores?Data on European and US higher education institutions that have been used for the analyses presented in the paper.
- Data for: Does deep learning help topic extraction? A kernel k-means clustering method with word embeddingThe 4770 dataset includes 4770 articles in the Web of Science database, covering 10 disciplines, such as artificial intelligence, business, history, and chemistry. The 577 dataset includes 577 proposals granted by the National Science Foundation of the United States, and all the 577 proposals are within the area of computer science but are in different sub areas of computer science. The 6767 dataset includes 6767 articles published in Journal of the Association for Information Science and Technology, Journal of Informetrics, and Scientometrics from 2000 to 2016. No labels are given for this dataset.
- Data for: Author Ranking Evaluation at ScaleThis data consists of two test data sets of researchers that have (1) received one or more prestigious prizes for the long-lasting and high impact contribution to their fields (596 data entries) and (2) author names of ACM fellows (1000 data entries). Each author in the data sets is matched to the corresponding ACM author profileID and multiple Microsoft Academic Graph author entity IDs (name disambiguated). It also includes citation counts, publication counts, download counts from various sources (ACM Digital Library, Google Scholar, Microsoft Academic).
- Data for: Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularityprediction of highly-cited papers in marketing and MIS
- FWCI and RCR comparison datasetThis is the dataset belonging to the article "Comparison of two article-level, field-independent citation metrics: Field-Weighted Citation Impact (FWCI) and Relative Citation Ratio (RCR)"
- Data for: Academic in-group bias: An empirical examination of the link between author and journal affiliationThis dataset includes data on articles published in four International Relations journals.
- Data for: Altmetric.com scores predicting future citation countsR code and factor analysis results.
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