Search (2 results, page 1 of 1)

  • × author_ss:"Daniel, H.-D."
  • × author_ss:"Mutz, R."
  • × theme_ss:"Informetrie"
  1. Mutz, R.; Daniel, H.-D.: What is behind the curtain of the Leiden Ranking? (2015) 0.00 
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    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).
    Type
    a
  2. Mutz, R.; Wolbring, T.; Daniel, H.-D.: ¬The effect of the "very important paper" (VIP) designation in Angewandte Chemie International Edition on citation impact : a propensity score matching analysis (2017) 0.00 
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    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.
    Type
    a