Search (6 results, page 1 of 1)

0.0010420457 = product of:
  0.02396705 = sum of:
    0.02396705 = sum of:
      0.007856515 = weight(_text_:1 in 4132) [ClassicSimilarity], result of:
        0.007856515 = score(doc=4132,freq=2.0), product of:
          0.057894554 = queryWeight, product of:
            2.4565027 = idf(docFreq=10304, maxDocs=44218)
            0.023567878 = queryNorm
          0.13570388 = fieldWeight in 4132, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            2.4565027 = idf(docFreq=10304, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4132)
      0.016110536 = weight(_text_:29 in 4132) [ClassicSimilarity], result of:
        0.016110536 = score(doc=4132,freq=2.0), product of:
          0.08290443 = queryWeight, product of:
            3.5176873 = idf(docFreq=3565, maxDocs=44218)
            0.023567878 = queryNorm
          0.19432661 = fieldWeight in 4132, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5176873 = idf(docFreq=3565, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4132)
  0.04347826 = coord(1/23)

Date

8. 1.2011 18:29:40

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.61-71

9.7151217E-4 = product of:
  0.01117239 = sum of:
    0.0039282576 = product of:
      0.007856515 = sum of:
        0.007856515 = weight(_text_:1 in 444) [ClassicSimilarity], result of:
          0.007856515 = score(doc=444,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.13570388 = fieldWeight in 444, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.0390625 = fieldNorm(doc=444)
      0.5 = coord(1/2)
    0.0072441325 = product of:
      0.014488265 = sum of:
        0.014488265 = weight(_text_:international in 444) [ClassicSimilarity], result of:
          0.014488265 = score(doc=444,freq=2.0), product of:
            0.078619614 = queryWeight, product of:
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.023567878 = queryNorm
            0.18428308 = fieldWeight in 444, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.0390625 = fieldNorm(doc=444)
      0.5 = coord(1/2)
  0.08695652 = coord(2/23)

Abstract

Scientists may seek to report a single definable body of research in more than one publication, that is, in repeated reports of the same work or in fractional reports, in order to disseminate their research as widely as possible in the scientific community. Up to now, however, it has not been examined whether this strategy of "multiple publication" in fact leads to greater reception of the research. In the present study, we investigate the influence of number of articles reporting the results of a single study on reception in the scientific community (total citation counts of an article on a single study). Our data set consists of 96 applicants for a research fellowship from the Boehringer Ingelheim Fonds (BIF), an international foundation for the promotion of basic research in biomedicine. The applicants reported to us all articles that they had published within the framework of their doctoral research projects. On this single project, the applicants had published from 1 to 16 articles (M = 4; Mdn = 3). The results of a regression model with an interaction term show that the practice of multiple publication of research study results does in fact lead to greater reception of the research (higher total citation counts) in the scientific community. However, reception is dependent upon length of article: the longer the article, the more total citation counts increase with the number of articles. Thus, it pays for scientists to practice multiple publication of study results in the form of sizable reports.

9.7151217E-4 = product of:
  0.01117239 = sum of:
    0.0039282576 = product of:
      0.007856515 = sum of:
        0.007856515 = weight(_text_:1 in 2954) [ClassicSimilarity], result of:
          0.007856515 = score(doc=2954,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.13570388 = fieldWeight in 2954, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2954)
      0.5 = coord(1/2)
    0.0072441325 = product of:
      0.014488265 = sum of:
        0.014488265 = weight(_text_:international in 2954) [ClassicSimilarity], result of:
          0.014488265 = score(doc=2954,freq=2.0), product of:
            0.078619614 = queryWeight, product of:
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.023567878 = queryNorm
            0.18428308 = fieldWeight in 2954, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2954)
      0.5 = coord(1/2)
  0.08695652 = coord(2/23)

Abstract

In a recently published PNAS paper, Radicchi, Fortunato, and Castellano (2008) propose the relative indicator cf as an unbiased indicator for citation performance across disciplines (fields, subject areas). To calculate cf, the citation rate for a single paper is divided by the average number of citations for all papers in the discipline in which the single paper has been categorized. cf values are said to lead to a universality of discipline-specific citation distributions. Using a comprehensive dataset of an evaluation study on Angewandte Chemie International Edition (AC-IE), we tested the advantage of using this indicator in practical application at the micro level, as compared with (1) simple citation rates, and (2) z-scores, which have been used in psychological testing for many years for normalization of test scores. To calculate z-scores, the mean number of citations of the papers within a discipline is subtracted from the citation rate of a single paper, and the difference is then divided by the citations' standard deviation for a discipline. Our results indicate that z-scores are better suited than cf values to produce universality of discipline-specific citation distributions.

5.455307E-4 = product of:
  0.012547206 = sum of:
    0.012547206 = product of:
      0.025094412 = sum of:
        0.025094412 = weight(_text_:international in 3792) [ClassicSimilarity], result of:
          0.025094412 = score(doc=3792,freq=6.0), product of:
            0.078619614 = queryWeight, product of:
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.023567878 = queryNorm
            0.31918767 = fieldWeight in 3792, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3792)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)

Abstract

Scientific journals publish an increasing number of articles every year. To steer readers' attention to the most important papers, journals use several techniques (e.g., lead paper). Angewandte Chemie International Edition (AC), a leading international journal in chemistry, signals high-quality papers through designating them as a "very important paper" (VIP). This study aims to investigate the citation impact of Communications in AC receiving the special feature VIP, both cumulated and over time. Using propensity score matching, treatment group (VIP) and control group (non-VIP) were balanced for 14 covariates to estimate the unconfounded "average treatment effect on the treated" for the VIP designation. Out of N = 3,011 Communications published in 2007 and 2008, N = 207 received the special feature VIP. For each Communication, data were collected from AC (e.g., referees' ratings) and from the databases Chemical Abstracts (e.g., sections) and the Web of Science (e.g., citations). The estimated unconfounded average treatment effect on the treated (that is, Communications designated as a VIP) was statistically significant and amounted to 19.83 citations. In addition, the special feature VIP fostered the cumulated annual citation growth. For instance, the time until a Communication reached its maximum annual number of citations, was reduced.

5.0393963E-4 = product of:
  0.011590611 = sum of:
    0.011590611 = product of:
      0.023181222 = sum of:
        0.023181222 = weight(_text_:international in 2381) [ClassicSimilarity], result of:
          0.023181222 = score(doc=2381,freq=8.0), product of:
            0.078619614 = queryWeight, product of:
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.023567878 = queryNorm
            0.2948529 = fieldWeight in 2381, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.03125 = fieldNorm(doc=2381)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)

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.

2.0495258E-4 = product of:
  0.0047139092 = sum of:
    0.0047139092 = product of:
      0.0094278185 = sum of:
        0.0094278185 = weight(_text_:1 in 2171) [ClassicSimilarity], result of:
          0.0094278185 = score(doc=2171,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.16284466 = fieldWeight in 2171, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.046875 = fieldNorm(doc=2171)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)

Abstract

Even with very well-documented rankings of universities, it is difficult for an individual university to reconstruct its position in the ranking. What is the reason behind whether a university places higher or lower in the ranking? Taking the example of ETH Zurich, the aim of this communication is to reconstruct how the high position of ETHZ (in Europe rank no. 1 in PP[top 10%]) in the Centre for Science and Technology Studies (CWTS) Leiden Ranking 2013 in the field "social sciences, arts and humanities" came about. According to our analyses, the bibliometric indicator values of a university depend very strongly on weights that result in differing estimates of both the total number of a university's publications and the number of publications with a citation impact in the 90th percentile, or PP(top 10%). In addition, we examine the effect of weights at the level of individual publications. Based on the results, we offer recommendations for improving the Leiden Ranking (for example, publication of sample calculations to increase transparency).