Search (8 results, page 1 of 1)

  • × theme_ss:"Informetrie"
  • × type_ss:"m"
  • × year_i:[2010 TO 2020}
  1. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.03 
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    Date
    22. 1.2017 17:12:50
    Footnote
    Rez. in JASIST 67(2017) no.2, S.537-538 (Ronald Rousseau).
    Pages
    976 S
    Type
    s
  2. Thelwall, M.: Web indicators for research evaluation : a practical guide (2016) 0.00 
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    Abstract
    In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
    Footnote
    Rez. in: JASIST 69(2018) no.3, S.498-499 (Isidro F. Aguillo).
    Pages
    170 S
  3. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.00 
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    Footnote
    Rez. in: iwp 62(2011) H.6/7, S. 323-324 (D. Lewandowski)
    Pages
    270 S
  4. Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018) 0.00 
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    Footnote
    Rez. in: JASIST 70(2019) no.5, S.530-532 (I. Dorsch)
    Pages
    xv, 385 S
  5. Theories of informetrics and scholarly communication : a Festschrift in honor of Blaise Cronin (2016) 0.00 
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    Footnote
    Rez. in: JASIST 68(2017) no.9, S.2275-2283 (Anthony F.J. van Raan)
    Pages
    XI, 426 S
    Type
    s
  6. Tüür-Fröhlich, T.: ¬The non-trivial effects of trivial errors in scientific communication and evaluation (2016) 0.00 
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    Abstract
    "Thomson Reuters' citation indexes i.e. SCI, SSCI and AHCI are said to be "authoritative". Due to the huge influence of these databases on global academic evaluation of productivity and impact, Terje Tüür-Fröhlich decided to conduct case studies on the data quality of Social Sciences Citation Index (SSCI) records. Tüür-Fröhlich investigated articles from social science and law. The main findings: SSCI records contain tremendous amounts of "trivial errors", not only misspellings and typos as previously mentioned in bibliometrics and scientometrics literature. But Tüür-Fröhlich's research documented fatal errors which have not been mentioned in the scientometrics literature yet at all. Tüür-Fröhlich found more than 80 fatal mutations and mutilations of Pierre Bourdieu (e.g. "Atkinson" or "Pierre, B. and "Pierri, B."). SSCI even generated zombie references (phantom authors and works) by data fields' confusion - a deadly sin for a database producer - as fragments of Patent Laws were indexed as fictional author surnames/initials. Additionally, horrific OCR-errors (e.g. "nuxure" instead of "Nature" as journal title) were identified. Tüür-Fröhlich´s extensive quantitative case study of an article of the Harvard Law Review resulted in a devastating finding: only 1% of all correct references from the original article were indexed by SSCI without any mistake or error. Many scientific communication experts and database providers' believe that errors in databanks are of less importance: There are many errors, yes - but they would counterbalance each other, errors would not result in citation losses and would not bear any effect on retrieval and evaluation outcomes. Terje Tüür-Fröhlich claims the contrary: errors and inconsistencies are not evenly distributed but linked with languages biases and publication cultures."
    Pages
    162 S
  7. Gingras, Y.: Bibliometrics and research evaluation : uses and abuses (2016) 0.00 
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    Footnote
    Rez. in: JASIST 68(2017) no.9, S.2290-2292 (Judit Bar-Ilan). Originaltitel: Dérives de l'évaluation de la recherche.
    Pages
    xii, 119 S
  8. Stuart, D.: Web metrics for library and information professionals (2014) 0.00 
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    Footnote
    Rez. in: JASIST 66(2015) no.11, S.2392-2395 (Enrique Orduña-Malea)
    Pages
    VII, 199 S

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