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SubmittedOpen Access (License Unspecified), Open
Journal article
Usage history of scientific literature: Nature metrics and metrics of Nature publications
Scientometrics, v 98(3), pp 1923-1933
01 Mar 2014
Abstract
In this study, we analyze the dynamic usage history of Nature publications over time using Nature metrics data. We conduct analysis from two perspectives. On the one hand, we examine how long it takes before the articles' downloads reach 50 %/80 % of the total; on the other hand, we compare the percentage of total downloads in 7, 30, and 100 days after publication. In general, papers are downloaded most frequently within a short time period right after their publication. And we find that compared with non-Open Access papers, readers' attention on Open Access publications are more enduring. Based on the usage data of a newly published paper, regression analysis could predict the future expected total usage counts.
Metrics
Details
- Title
- Usage history of scientific literature: Nature metrics and metrics of Nature publications
- Creators
- Xianwen Wang - Dalian University of TechnologyWenli Mao - WISE Lab, School of Public Administration and Law, Dalian University of Technology, Dalian, China 116085Shenmeng Xu - University of North Carolina at Chapel HillChunbo Zhang - WISE Lab, School of Public Administration and Law, Dalian University of Technology, Dalian, China 116085Xuehang Wang - A.J. Drexel Nanomaterials Institute
- Publication Details
- Scientometrics, v 98(3), pp 1923-1933
- Publisher
- Springer Nature
- Number of pages
- 11
- Grant note
- DUT12RW309 / Fundamental Research Funds for the Central Universities 61301227 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 10CZX011 / Social Science Foundation of China
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Nanomaterials Institute
- Web of Science ID
- WOS:000331559800021
- Scopus ID
- 2-s2.0-84897569822
- Other Identifier
- 991019173579304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science