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Mendeley readers
Attention Score in Context
| Title |
Deep-Level Composition Variables as Predictors of Team Performance: A Meta-Analysis
|
|---|---|
| Published in |
Journal of Applied Psychology, May 2007
|
| DOI | 10.1037/0021-9010.92.3.595 |
| Pubmed ID | |
| Authors |
Suzanne T. Bell |
| Abstract |
This study sought to unify the team composition literature by using meta-analytic techniques to estimate the relationships between specified deep-level team composition variables (i.e., personality factors, values, abilities) and team performance. The strength of the team composition variable and team performance relationships was moderated by the study setting (lab or field) and the operationalization of the team composition variable. In lab settings, team minimum and maximum general mental ability and team mean emotional intelligence were related to team performance. Only negligible effects were observed in lab settings for the personality factor and team performance relationships, as well as the value and team performance relationships. In contrast, team minimum agreeableness and team mean conscientiousness, openness to experience, collectivism, and preference for teamwork emerged as strong predictors of team performance in field studies. Results can be used to effectively compose teams in organizations and guide future team composition research. |
Mendeley readers
The data shown below were compiled from readership statistics for 1,459 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 32 | 2% |
| Germany | 6 | <1% |
| United Kingdom | 6 | <1% |
| Switzerland | 4 | <1% |
| Austria | 4 | <1% |
| Portugal | 3 | <1% |
| France | 3 | <1% |
| Sweden | 2 | <1% |
| Netherlands | 2 | <1% |
| Other | 12 | <1% |
| Unknown | 1385 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 379 | 26% |
| Student > Master | 228 | 16% |
| Student > Bachelor | 143 | 10% |
| Student > Doctoral Student | 126 | 9% |
| Researcher | 98 | 7% |
| Other | 245 | 17% |
| Unknown | 240 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 469 | 32% |
| Psychology | 384 | 26% |
| Social Sciences | 101 | 7% |
| Computer Science | 48 | 3% |
| Engineering | 46 | 3% |
| Other | 141 | 10% |
| Unknown | 270 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 04 September 2022.
All research outputs
#1,436,787
of 26,017,215 outputs
Outputs from Journal of Applied Psychology
#478
of 3,434 outputs
Outputs of similar age
#2,793
of 90,447 outputs
Outputs of similar age from Journal of Applied Psychology
#1
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. 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 90,447 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 95% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them