| Title |
High research productivity in vertically undifferentiated higher education systems: Who are the top performers?
|
|---|---|
| Published in |
Scientometrics, January 2018
|
| DOI | 10.1007/s11192-018-2644-7 |
| Pubmed ID | |
| Authors |
Marek Kwiek |
| Abstract |
The growing scholarly interest in research top performers comes from the growing policy interest in research top performance itself. A question emerges: what makes someone a top performer? In this paper, the upper 10% of Polish academics in terms of research productivity are studied, and predictors of entering this class are sought. In the science system (and Poland follows global patterns), a small number of scholars produce most of the works and attract huge numbers of citations. Performance determines rewards, and small differences in talent translate into a disproportionate level of success, leading to inequalities in resources, research outcomes, and rewards. Top performers are studied here through a bivariate analysis of their working time distribution and their academic role orientation, as well as through a model approach. Odds ratio estimates with logistic regression of being highly productive Polish academics are presented. Consistently across major clusters of academic disciplines, the tiny minority of 10% of academics produces about half (44.7%) of all Polish publications (48.0% of publications in English and 57.2% of internationally co-authored publications). The mean research productivity of top performers across major clusters is on average 7.3 times higher than that of the other academics, and in terms of internationally co-authored publications, 12.07 times higher. High inequality was observed: the average research productivity distribution is highly skewed with a long tail on the right not only for all Polish academics but also for top performers. The class of top performers is as internally stratified as that of their lower-performing colleagues. Separate regression models for all academics, science, technology, engineering and mathematics academics, and social sciences and humanities academics are built based on a large national sample (2525 usable observations), and implications are discussed. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 5 | 45% |
| Ukraine | 1 | 9% |
| Spain | 1 | 9% |
| Paraguay | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Unknown | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Researcher | 14 | 13% |
| Lecturer | 11 | 10% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 22 | 21% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 35 | 33% |
| Business, Management and Accounting | 8 | 8% |
| Computer Science | 6 | 6% |
| Economics, Econometrics and Finance | 5 | 5% |
| Engineering | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 33 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2021.
All research outputs
#4,694,922
of 23,026,672 outputs
Outputs from Scientometrics
#904
of 2,691 outputs
Outputs of similar age
#105,074
of 440,723 outputs
Outputs of similar age from Scientometrics
#22
of 62 outputs
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.