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The duality of firms and directors in board interlock networks: A relational event modeling approach

Overview of attention for article published in Social Networks, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
61 Mendeley
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Title
The duality of firms and directors in board interlock networks: A relational event modeling approach
Published in
Social Networks, July 2020
DOI 10.1016/j.socnet.2020.02.009
Authors

Diliara Valeeva, Eelke M. Heemskerk, Frank W. Takes

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 11%
Student > Master 6 10%
Professor > Associate Professor 5 8%
Student > Ph. D. Student 5 8%
Researcher 4 7%
Other 14 23%
Unknown 20 33%
Readers by discipline Count As %
Business, Management and Accounting 16 26%
Social Sciences 11 18%
Computer Science 2 3%
Economics, Econometrics and Finance 2 3%
Engineering 2 3%
Other 8 13%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 27 January 2022.
All research outputs
#3,563,694
of 25,387,668 outputs
Outputs from Social Networks
#159
of 957 outputs
Outputs of similar age
#93,008
of 432,368 outputs
Outputs of similar age from Social Networks
#1
of 9 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 83% 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 432,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 9 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