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  • × author_ss:"Daniel, H.-D."
  • × author_ss:"Bornmann, L."
  1. Bornmann, L.; Daniel, H.-D.: Selecting manuscripts for a high-impact journal through peer review : a citation analysis of communications that were accepted by Angewandte Chemie International Edition, or rejected but published elsewhere (2008) 0.05 
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    Abstract
    All journals that use peer review have to deal with the following question: Does the peer review system fulfill its declared objective to select the best scientific work? We investigated the journal peer-review process at Angewandte Chemie International Edition (AC-IE), one of the prime chemistry journals worldwide, and conducted a citation analysis for Communications that were accepted by the journal (n = 878) or rejected but published elsewhere (n = 959). The results of negative binomial-regression models show that holding all other model variables constant, being accepted by AC-IE increases the expected number of citations by up to 50%. A comparison of average citation counts (with 95% confidence intervals) of accepted and rejected (but published elsewhere) Communications with international scientific reference standards was undertaken. As reference standards, (a) mean citation counts for the journal set provided by Thomson Reuters corresponding to the field chemistry and (b) specific reference standards that refer to the subject areas of Chemical Abstracts were used. When compared to reference standards, the mean impact on chemical research is for the most part far above average not only for accepted Communications but also for rejected (but published elsewhere) Communications. However, average and below-average scientific impact is to be expected significantly less frequently for accepted Communications than for rejected Communications. All in all, the results of this study confirm that peer review at AC-IE is able to select the best scientific work with the highest impact on chemical research.
    Content
    Vgl. auch: Erratum Re: Selecting manuscripts for a high-impact journal through peer review: A citation analysis of communications that were accepted by Agewandte Chemie International Edition, or rejected but published elsewhere. In: Journal of the American Society for Information Science and Technology 59(2008) no.12, S.2037-2038.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1841-1852
  2. Bornmann, L.; Daniel, H.-D.: What do we know about the h index? (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1381-1385
  3. Bornmann, L.; Daniel, H.-D.: Multiple publication on a single research study: does it pay? : The influence of number of research articles on total citation counts in biomedicine (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1100-1107
  4. Bornmann, L.; Mutz, R.; Daniel, H.-D.: Are there better indices for evaluation purposes than the h index? : a comparison of nine different variants of the h index using data from biomedicine (2008) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.830-837
  5. Bornmann, L.; Daniel, H.-D.: Universality of citation distributions : a validation of Radicchi et al.'s relative indicator cf = c/c0 at the micro level using data from chemistry (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1664-1670
  6. Bornmann, L.; Schier, H.; Marx, W.; Daniel, H.-D.: Is interactive open access publishing able to identify high-impact submissions? : a study on the predictive validity of Atmospheric Chemistry and Physics by using percentile rank classes (2011) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.61-71
  7. Bornmann, L.; Mutz, R.; Daniel, H.-D.: Multilevel-statistical reformulation of citation-based university rankings : the Leiden ranking 2011/2012 (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.8, S.1649-1658
  8. Mutz, R.; Bornmann, L.; Daniel, H.-D.: Testing for the fairness and predictive validity of research funding decisions : a multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2321-2339

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