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Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes

Overview of attention for article published in Applied Network Science, November 2021
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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 (96th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes
Published in
Applied Network Science, November 2021
DOI 10.1007/s41109-021-00425-z
Authors

Leonie Neuhäuser, Felix I. Stamm, Florian Lemmerich, Michael T. Schaub, Markus Strohmaier

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Lecturer > Senior Lecturer 1 8%
Unknown 7 58%
Readers by discipline Count As %
Social Sciences 2 17%
Business, Management and Accounting 1 8%
Computer Science 1 8%
Engineering 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 November 2021.
All research outputs
#4,716,996
of 25,816,430 outputs
Outputs from Applied Network Science
#129
of 587 outputs
Outputs of similar age
#97,100
of 446,384 outputs
Outputs of similar age from Applied Network Science
#1
of 27 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 77% 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 446,384 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 27 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 96% of its contemporaries.