Search (575 results, page 29 of 29)

  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Min, C.; Ding, Y.; Li, J.; Bu, Y.; Pei, L.; Sun, J.: Innovation or imitation : the diffusion of citations (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.10, S.1271-1282
  2. Fang, H.: ¬A discussion of citations from the perspective of the contribution of the cited paper to the citing paper (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1513-1520
  3. Gantman, E.R.; Dabós, M.P.: Research output and impact of the fields of management, economics, and sociology in Spain and France : an analysis using Google Scholar and Scopus (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1054-1066
  4. Zhang, Q.; Xue, H.; Tang, H.: Knowledge domain and emerging trends in vulnerability assessment in the context of climate change : a bibliometric analysis (1991-2017) (2018) 0.00 
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    Abstract
    Analysis of the knowledge structure and the evolution of research topics in specific areas has been the focus of information science (IS). Such analysis helps to enrich interested researchers' understanding of the functions, activities and evolving constraints of the knowledge domain. This study aims to investigate the knowledge domain associated with the vulnerability assessment in the context of climate change (VACC) research in this fast-growing field between January 1991 and December 2017. A bibliometric approach, along with CiteSpace software, was used to identify and visualize thematic patterns, landmark articles and emerging trends. The data used for the bibliometric analysis include 6,584 original research articles and reviews published between 1991 and 2017. The results indicate that the number of documents pertaining to VACC presented a general growth trend over the last twenty-seven years. Climatic Change was the most productive journal. Among countries, the USA, England and Australia predominated, and the University of Chinese Academy of Sciences and U.S. Geological Survey were the two institutions with the largest amount of VACC research. Existing studies in the field of VACC research have focused primarily on environmental sciences. Importantly, emerging trends in VACC research have shifted away from vulnerability assessments of natural ecosystems based on model simulation methods in the context of climate change toward indicator-based assessments of social ecosystem vulnerability, adaptive capacity and resilience under multidimensional stressors and shocks, which are likely to define the new frontier in the field of VACC research.
  5. Park, H.; You, S.; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1346-1354
  6. White, H.D.; Zuccala, A.A.: Libcitations, worldcat, cultural impact, and fame (2018) 0.00 
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    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1502-1512
  7. Lee, D.H.; Brusilovsky, P.: ¬The first impression of conference papers : does it matter in predicting future citations? (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.1, S.83-95
  8. Kim, J.: Author-based analysis of conference versus journal publication in computer science (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.1, S.71-82
  9. Leydesdorff, L.; Bornmann, L.; Mingers, J.: Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the Leiden rankings (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.509-525
  10. Aung, H.H.; Zheng, H.; Erdt, M.; Aw, A.S.; Sin, S.-C.J.; Theng, Y.-L.: Investigating familiarity and usage of traditional metrics and altmetrics (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.8, S.872-887
  11. Franssen, T.; Wouters, P.: Science and its significant other : representing the humanities in bibliometric scholarship (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1124-1137
  12. Tomaszewski, R.: Citations to chemical databases in scholarly articles : to cite or not to cite? (2019) 0.00 
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    Abstract
    Purpose Chemical databases have had a significant impact on the way scientists search for and use information. The purpose of this paper is to spark informed discussion and fuel debate on the issue of citations to chemical databases. Design/methodology/approach A citation analysis to four major chemical databases was undertaken to examine resource coverage and impact in the scientific literature. Two commercial databases (SciFinder and Reaxys) and two public databases (PubChem and ChemSpider) were analyzed using the "Cited Reference Search" in the Science Citation Index Expanded from the Web of Science (WoS) database. Citations to these databases between 2000 and 2016 (inclusive) were evaluated by document types and publication growth curves. A review of the distribution trends of chemical databases in peer-reviewed articles was conducted through a citation count analysis by country, organization, journal and WoS category. Findings In total, 862 scholarly articles containing a citation to one or more of the four databases were identified as only steadily increasing since 2000. The study determined that authors at academic institutions worldwide reference chemical databases in high-impact journals from notable publishers and mainly in the field of chemistry. Originality/value The research is a first attempt to evaluate the practice of citation to major chemical databases in the scientific literature. This paper proposes that citing chemical databases gives merit and recognition to the resources as well as credibility and validity to the scholarly communication process and also further discusses recommendations for citing and referencing databases.
  13. Bensman, S.J.; Smolinsky, L.J.; Pudovkin, A.I.: Mean citation rate per article in mathematics journals : differences from the scientific model (2010) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1440-1463
  14. Schloegl, C.; Gorraiz, J.: Global usage versus global citation metrics : the case of pharmacology journals (2011) 0.00 
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    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.161-170
  15. Gingras, Y.: Bibliometrics and research evaluation : uses and abuses (2016) 0.00 
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    Series
    History and foundations of information science

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