↓ Skip to main content

Understanding the assembly of interdisciplinary teams and its impact on performance

Overview of attention for article published in Journal of Informetrics, January 2014
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
176 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Understanding the assembly of interdisciplinary teams and its impact on performance
Published in
Journal of Informetrics, January 2014
DOI 10.1016/j.joi.2013.10.006
Pubmed ID
Authors

Alina Lungeanu, Yun Huang, Noshir S. Contractor

Abstract

Interdisciplinary teams are assembled in scientific research and are aimed at solving complex problems. Given their increasing importance, it is not surprising that considerable attention has been focused on processes of collaboration in interdisciplinary teams. Despite such efforts, we know less about the factors affecting the assembly of such teams in the first place. In this paper, we investigate the structure and the success of interdisciplinary scientific research teams. We examine the assembly factors using a sample of 1,103 grant proposals submitted to two National Science Foundation interdisciplinary initiatives during a 3-year period, including both awarded and non-awarded proposals. The results indicate that individuals' likelihood of collaboration on a proposal is higher among those with longer tenure, lower institutional tier, lower H-index, and with higher levels of prior co-authorship and citation relationships. However, successful proposals have a little bit different relational patterns: individuals' likelihood of collaboration is higher among those with lower institutional tier, lower H-index, (female) gender, higher levels of prior co-authorship, but with lower levels of prior citation relationships.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Hungary 1 <1%
Germany 1 <1%
Brazil 1 <1%
France 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 164 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 21%
Researcher 23 13%
Student > Master 23 13%
Other 11 6%
Professor 11 6%
Other 43 24%
Unknown 28 16%
Readers by discipline Count As %
Social Sciences 50 28%
Computer Science 26 15%
Business, Management and Accounting 12 7%
Agricultural and Biological Sciences 9 5%
Psychology 9 5%
Other 35 20%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 July 2014.
All research outputs
#2,056,810
of 25,373,627 outputs
Outputs from Journal of Informetrics
#107
of 754 outputs
Outputs of similar age
#22,849
of 319,271 outputs
Outputs of similar age from Journal of Informetrics
#1
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done well, scoring higher than 85% 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 319,271 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 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.