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  • × author_ss:"Rousseau, R."
  • × year_i:[2010 TO 2020}
  1. Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018) 0.06
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    Imprint
    Cambridge, MA : Elsevier, Chandos Publishing
    LCSH
    Electronic books
    Subject
    Electronic books
  2. Rousseau, R.; Ding, J.: Does international collaboration yield a higher citation potential for US scientists publishing in highly visible interdisciplinary Journals? (2016) 0.03
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    Abstract
    Generally, multicountry papers receive more citations than single-country ones. In this contribution, we examine if this rule also applies to American scientists publishing in highly visible interdisciplinary journals. Concretely, we compare the citations received by American scientists in Nature, Science, and the Proceedings of the National Academy of Sciences of the United States of America (PNAS). It is shown that, statistically, American scientists publishing in Nature and Science do not benefit from international collaboration. This statement also holds for communicated submissions, but not for direct and for contributed submissions, to PNAS.
  3. Zhang, L.; Rousseau, R.; Glänzel, W.: Document-type country profiles (2011) 0.02
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    Abstract
    A bibliometric method for analyzing and visualizing national research profiles is adapted to describe national preferences for publishing particular document types. Similarities in national profiles and national peculiarities are discussed based on the publication output of the 26 most active countries indexed in the Web of Science annual volume 2007.
  4. Yang, B.; Rousseau, R.; Wang, X.; Huang, S.: How important is scientific software in bioinformatics research? : a comparative study between international and Chinese research communities (2018) 0.02
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    Abstract
    Software programs are among the most important tools in data-driven research. The popularity of well-known packages and corresponding large numbers of citations received bear testimony of the contribution of scientific software to academic research. Yet software is not generally recognized as an academic outcome. In this study, a usage-based model is proposed with varied indicators including citations, mentions, and downloads to measure the importance of scientific software. We performed an investigation on a sample of international bioinformatics research articles, and on a sample from the Chinese community. Our analysis shows that scientists in the field of bioinformatics rely heavily on scientific software: the major differences between the international community and the Chinese example being how scientific packages are mentioned in publications and the time gap between the introduction of a package and its use. Biologists publishing in international journals tend to apply the latest tools earlier; Chinese scientists publishing in Chinese tend to follow later. Further, journals with higher impact factors tend to publish articles applying the latest tools earlier.
  5. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.01
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    Date
    14. 2.2012 12:53:22