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Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature

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  • James Howison
  • Julia Bullard

Abstract

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  • James Howison & Julia Bullard, 2016. "Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2137-2155, September.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:9:p:2137-2155
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    File URL: http://hdl.handle.net/10.1002/asi.23538
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    Citations

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    Cited by:

    1. Caifan Du & Johanna Cohoon & Patrice Lopez & James Howison, 2021. "Softcite dataset: A dataset of software mentions in biomedical and economic research publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 870-884, July.
    2. Enrique Orduña-Malea & Rodrigo Costas, 2021. "Link-based approach to study scientific software usage: the case of VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8153-8186, September.
    3. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    4. Lu Jiang & Xinyu Kang & Shan Huang & Bo Yang, 2022. "A refinement strategy for identification of scientific software from bioinformatics publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3293-3316, June.
    5. Xuelian Pan & Erjia Yan & Weina Hua, 2016. "Disciplinary differences of software use and impact in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1593-1610, December.
    6. Shifan Qin & Longjiang Li, 2023. "Visual Analysis of Image Processing in the Mining Field Based on a Knowledge Map," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    7. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2019. "How important is software to library and information science research? A content analysis of full-text publications," Journal of Informetrics, Elsevier, vol. 13(1), pages 397-406.
    8. Wang, Yuzhuo & Zhang, Chengzhi, 2020. "Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing," Journal of Informetrics, Elsevier, vol. 14(4).
    9. Yuzhuo Wang & Chengzhi Zhang & Kai Li, 2022. "A review on method entities in the academic literature: extraction, evaluation, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2479-2520, May.

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