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The citation impact of articles from which authors gained monetary rewards based on journal metrics

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Abstract

Monetary rewards granted on a per-publication basis to individual authors are an important policy instrument to stimulate scientific research. An inconsistent feature of many article reward schemes is that they use journal-level citation metrics. In this paper we assess the actual article-level citation impact of about 10,000 articles whose authors received financial rewards within the Romanian Program for Rewarding Research Results (PR3), an exemplary money-per-publication program that uses journal metrics to allocate rewards. We present PR3, offer a comprehensive empirical analysis of its results and a scientometric critique of its methodology. We first use a reference dataset of 1.9 million articles to compare the impact of each rewarded article from five consecutive PR3 editions to the impact of all the other articles published in the same journal and year. To determine the wider global impact of PR3 papers we then further benchmark their citation performance against the worldwide field baselines and percentile rank classes from the Clarivate Analytics Essential Science Indicators. We find that within their journals PR3 articles span the full range of citation impact almost uniformly. In the larger context of global broad fields of science almost two thirds of the rewarded papers are below the world average in their field and more than a third lie below the world median. Although desired by policymakers to exemplify excellence many PR3 articles are characterized by a rather commonplace individual citation performance and have not achieved the impact presumed and rewarded after publication based on journal metrics. Furthermore, identical rewards have been offered to articles with markedly different impact. Direct monetary incentives for articles may support productivity but they cannot guarantee impact.

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Notes

  1. Note also that the per-publication nature of PR3 precludes the necessity of translating the publications to any intermediate system of points that would then determine rewards.

  2. We considered whether this might also be due to financial constraints in the respective years but cross-referencing budget specifications from the information packages with figures on the total amounts disbursed for the articles indicates that in fact the initially allocated budget was not exhausted in any of the three years. For 2011 and 2012 the exclusion of proceedings papers from eligible documents (except for social sciences which are, however, poorly represented) might also explain the decrease.

  3. As is known to WoS users some documents can have multiple attribution. Those listed as “article; proceedings paper”, “article; book chapter”, etc. are not eligible submissions in PR3.

  4. These figures are based on calculations considering the annual exchange rate from the National Bank of Romania (listed in Table 1) and net income data from the Romanian National Institute of Statistics (https://insse.ro/cms/ro/content/c%C3%A2%C8%99tiguri-salariale-din-1938-serie-anual%C4%83-0).

  5. Knowledgeable readers of the journal are undoubtedly familiar with at least some and we therefore relegate their exposition to the part of the paper where we discuss our results.

  6. Note that together with impact these are exactly the aspects PR3 states that it is rewarding.

  7. It also has the benefit of avoiding the problems associated with the classification of journals in the WoS categories, especially the issue of multiple assignment of papers to more than one category, with which we engage in the discussion section.

  8. These mostly include proceedings papers and reviews but also two retracted publications, both included in the red reward class, published in 2014 (one in the International Journal of Obesity, the other in Diabetes) and rewarded in the 2015 PR3. The PR3 information packages do not mention the unlikely eventuality of article retraction and any steps that might be taken in such cases.

  9. Similarly, our investigation does not include articles published in 2015 but rewarded in the 2016 PR3.

  10. The information was published (and is still published for recent PR3 editions) in multiple pdf files made public as submissions are processed. In total, 36 such files contain the information for the 2011–2015 competitions considered in our investigation. They are available (under the heading for each year) at the following link: http://old.uefiscdi.ro/articole/1722/Articole.html. There is a notable inconsistency in the way information was published in the lists from one year to another and sometimes even between the lists belonging to the same year. We opted to keep only the minimal set of variables that were reported consistently across the entire five-year window and only for the articles that were accepted for a reward.

  11. Note that this superset does not include all WoS-indexed publications from 2011–2015 since many of the thousands of indexed journals did not publish any PR3 article or were not eligible for submission in PR3.

  12. Our assignment of PR3 papers to ESI categories was based on the mapping of their publishing journals to the broad categories most recently updated in the June 2020 ESI master journal list. A limitation we must acknowledge is that papers assigned to the multidisciplinary category in our datasets are not necessarily assigned to this particular category in the ESI where information on the cited references is used to attribute the papers to the other categories. Of the 10,281 PR3 papers 229 have been attributed to the multidisciplinary category.

  13. Bornmann and Williams also propose the alternative CP-IN indicator which has a different interpretation: it represents the cumulative percentage of papers having a citation impact lower than or equivalent to a focal paper. For the three examples above the CP-IN values for the three focal papers would be exactly 10, 50 and 90. A disadvantage of CP-IN is that in reference sets with uncited items the papers with no citations would appear to have some sort of citation impact as a consequence of the or equivalent to clause. In CP-EX the percentile corresponding to the first empirical citation count in the reference distribution is 0 and this value can be expected to be overrepresented compared to the others.

  14. The averages for broad fields—and the percentile rank class thresholds—are calculated from all articles and reviews indexed in WoS and therefore reflect the complete citation performance in a broad field. Our journal superset data capture only a part of this performance.

  15. A routine statistical analysis for the citation counts of all articles in all the 3971 journal-year combinations from the superset corresponding to the 9812 PR3 papers shows skewness coefficients above 1 for all but 28 cases, above 2 for all but 784 and above 3 for no fewer than 1978.

  16. We will not address all of them here as this would itself be a very lengthy undertaking. Bullet point accounts—each noting more than a dozen aspects—can be found, for example, in Pendlebury (2009, p. 3) and Seglen (1997, p. 499).

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Acknowledgements

Anonymous reviewer comments that helped to clarify and improve aspects of the initial manuscript are gratefully acknowledged by the authors. This paper was financially supported by the Human Capital Operational Program 2014-2020, co-financed by the European Social Fund, under the project POCU/380/6/13/124708 No. 37141/23.05.2019 with the title “Researcher-Entrepreneur on Labour Market in the Fields of Intelligent Specialization (CERT-ANTREP)”, coordinated by the National University of Political Studies and Public Administration.

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Correspondence to Gabriel-Alexandru Vîiu.

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Vîiu, GA., Păunescu, M. The citation impact of articles from which authors gained monetary rewards based on journal metrics. Scientometrics 126, 4941–4974 (2021). https://doi.org/10.1007/s11192-021-03944-9

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