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| Intentions of Data Papers in Open Science: A Case Study in the Biomedical Field |
| Wang Lijun1,3, Liu Ru2, Yang Bo2, Liu Zhihui1,3, Zheng Ming1,3 |
1.Institute of Scientific and Technical Information of China, Beijing 100038
2.College of Informaton Management, Nanjing Agricultural University, Nanjing 210095
3.Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content, Beijing 100038 |
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Abstract This study investigates the citation characteristics and trends of data papers to explore their practical utility, using a full-text corpus of citations. Focusing on the data-intensive biomedical field, we analyze citation intentions across three dimensions: time, space, and journal distribution. Utilizing automatic identification methods, the findings reveal that the citation time of data papers is highly consistent with their publication time. Moreover, the proportion of substantive citations is slightly higher than that of non-substantive citations. In substantive references, citation sentences are primarily concentrated in the data/method section. The number of papers describing datasets is more than those describing databases; however, the latter incorporates higher and more sustained citations.
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Received: 10 April 2024
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