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University–industry R

Overview of attention for article published in Scientometrics, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
21 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
151 Mendeley
Title
University–industry R&D linkage metrics: validity and applicability in world university rankings
Published in
Scientometrics, August 2016
DOI 10.1007/s11192-016-2098-8
Pubmed ID
Authors

Robert J. W. Tijssen, Alfredo Yegros-Yegros, Jos J. Winnink

Abstract

In September 2015 Thomson Reuters published its Ranking of Innovative Universities (RIU). Covering 100 large research-intensive universities worldwide, Stanford University came in first, MIT was second and Harvard in third position. But how meaningful is this outcome? In this paper we will take a critical view from a methodological perspective. We focus our attention on the various types of metrics available, whether or not data redundancies are addressed, and if metrics should be assembled into a single composite overall score or not. We address these issues in some detail by emphasizing one metric in particular: university-industry co-authored publications (UICs). We compare the RIU with three variants of our own University-Industry R&D Linkage Index, which we derived from the bibliometric analysis of 750 research universities worldwide. Our findings highlight conceptual and methodological problems with UIC-based data, as well as computational weaknesses such university ranking systems. Avoiding choices between size-dependent or independent metrics, and between single-metrics and multi-metrics systems, we recommend an alternative 'scoreboard' approach: (1) without weighing systems of metrics and composite scores; (2) computational procedures and information sources are made more transparent; (3) size-dependent metrics are kept separate from size-independent metrics; (4) UIC metrics are selected according to the type of proximity relationship between universities and industry.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 1%
Croatia 1 <1%
Colombia 1 <1%
Mexico 1 <1%
Unknown 146 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Master 22 15%
Researcher 20 13%
Student > Doctoral Student 13 9%
Librarian 8 5%
Other 29 19%
Unknown 35 23%
Readers by discipline Count As %
Social Sciences 32 21%
Business, Management and Accounting 26 17%
Engineering 17 11%
Computer Science 8 5%
Economics, Econometrics and Finance 7 5%
Other 21 14%
Unknown 40 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 December 2016.
All research outputs
#1,468,853
of 22,882,389 outputs
Outputs from Scientometrics
#288
of 2,685 outputs
Outputs of similar age
#29,376
of 354,866 outputs
Outputs of similar age from Scientometrics
#9
of 54 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.