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The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks

Overview of attention for article published in Social Networks, January 2016
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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5 X users

Citations

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16 Dimensions

Readers on

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100 Mendeley
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Title
The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks
Published in
Social Networks, January 2016
DOI 10.1016/j.socnet.2015.06.005
Authors

Mark Tranmer, Francesca Pallotti, Alessandro Lomi

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Czechia 1 1%
Switzerland 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Researcher 16 16%
Student > Master 10 10%
Professor > Associate Professor 9 9%
Other 5 5%
Other 10 10%
Unknown 19 19%
Readers by discipline Count As %
Social Sciences 36 36%
Business, Management and Accounting 17 17%
Agricultural and Biological Sciences 5 5%
Psychology 5 5%
Economics, Econometrics and Finance 3 3%
Other 14 14%
Unknown 20 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 December 2015.
All research outputs
#14,784,639
of 25,374,917 outputs
Outputs from Social Networks
#547
of 957 outputs
Outputs of similar age
#195,828
of 399,677 outputs
Outputs of similar age from Social Networks
#11
of 30 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 957 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 399,677 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 30 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 63% of its contemporaries.