Search (3 results, page 1 of 1)

  • × author_ss:"Bordons, M."
  • × year_i:[2010 TO 2020}
  1. Díaz-Faes, A.A.; Bordons, M.: Acknowledgments in scientific publications : presence in Spanish science and text patterns across disciplines (2014) 0.02 
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    Abstract
    The acknowledgments in scientific publications are an important feature in the scholarly communication process. This research analyzes funding acknowledgment presence in scientific publications and introduces a novel approach for discovering text patterns by discipline in the acknowledgment section of papers. First, the presence of acknowledgments in 38,257 English-language papers published by Spanish researchers in 2010 is studied by subject area on the basis of the funding acknowledgment information available in the Web of Science database. Funding acknowledgments are present in two thirds of Spanish articles, with significant differences by subject area, number of authors, impact factor of journals, and, in one specific area, basic/applied nature of research. Second, the existence of specific acknowledgment patterns in English-language papers of Spanish researchers in 4 selected subject categories (cardiac and cardiovascular systems, economics, evolutionary biology, and statistics and probability) is explored through a combination of text mining and multivariate analyses. "Peer interactive communication" predominates in the more theoretical or social-oriented fields (statistics and probability, economics), whereas the recognition of technical assistance is more common in experimental research (evolutionary biology), and the mention of potential conflicts of interest emerges forcefully in the clinical field (cardiac and cardiovascular systems). The systematic inclusion of structured data about acknowledgments in journal articles and bibliographic databases would have a positive impact on the study of collaboration practices in science.
    Date
    22. 8.2014 17:06:28
    Type
    a
  2. Costas, R.; Leeuwen, T.N. van; Bordons, M.: Referencing patterns of individual researchers : do top scientists rely on more extensive information sources? (2012) 0.00 
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    Abstract
    This study presents an analysis of the use of bibliographic references by individual scientists in three different research areas. The number and type of references that scientists include in their papers are analyzed, the relationship between the number of references and different impact-based indicators is studied from a multivariable perspective, and the referencing patterns of scientists are related to individual factors such as their age and scientific performance. Our results show inter-area differences in the number, type, and age of references. Within each area, the number of references per document increases with journal impact factor and paper length. Top-performance scientists use in their papers a higher number of references, which are more recent and more frequently covered by the Web of Science. Veteran researchers tend to rely more on older literature and non-Web of Science sources. The longer reference lists of top scientists can be explained by their tendency to publish in high impact factor journals, with stricter reference and reviewing requirements. Long reference lists suggest a broader knowledge on the current literature in a field, which is important to become a top scientist. From the perspective of the "handicap principle theory," the sustained use of a high number of references in an author's oeuvre is a costly behavior that may indicate a serious, comprehensive, and solid research capacity, but that only the best researchers can afford. Boosting papers' citations by artificially increasing the number of references does not seem a feasible strategy.
    Type
    a
  3. Costas, R.; Leeuwen, T.N. van; Bordons, M.: ¬A bibliometric classificatory approach for the study and assessment of research performance at the individual level : the effects of age on productivity and impact (2010) 0.00 
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    Abstract
    The authors set forth a general methodology for conducting bibliometric analyses at the micro level. It combines several indicators grouped into three factors or dimensions, which characterize different aspects of scientific performance. Different profiles or classes of scientists are described according to their research performance in each dimension. A series of results based on the findings from the application of this methodology to the study of Spanish National Research Council scientists in Spain in three thematic areas are presented. Special emphasis is made on the identification and description of top scientists from structural and bibliometric perspectives. The effects of age on the productivity and impact of the different classes of scientists are analyzed. The classificatory approach proposed herein may prove a useful tool in support of research assessment at the individual level and for exploring potential determinants of research success.
    Type
    a

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