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A measure of local uniqueness to identify linchpins in a social network with node attributes

Overview of attention for article published in Applied Network Science, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
Title
A measure of local uniqueness to identify linchpins in a social network with node attributes
Published in
Applied Network Science, July 2021
DOI 10.1007/s41109-021-00400-8
Authors

Matthew D. Nemesure, Thomas M. Schwedhelm, Sofia Sacerdote, A. James O’Malley, Luke R. Rozema, Erika L. Moen

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 11%
Lecturer 1 11%
Student > Bachelor 1 11%
Professor 1 11%
Student > Ph. D. Student 1 11%
Other 2 22%
Unknown 2 22%
Readers by discipline Count As %
Business, Management and Accounting 2 22%
Social Sciences 2 22%
Computer Science 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 February 2022.
All research outputs
#7,053,968
of 21,851,503 outputs
Outputs from Applied Network Science
#205
of 469 outputs
Outputs of similar age
#129,085
of 341,898 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 21,851,503 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 55% 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 341,898 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 61% of its contemporaries.
We're also able to compare this research output to 1 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