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Maximum entropy networks for large scale social network node analysis

Overview of attention for article published in Applied Network Science, September 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
Title
Maximum entropy networks for large scale social network node analysis
Published in
Applied Network Science, September 2022
DOI 10.1007/s41109-022-00506-7
Pubmed ID
Authors

Bart De Clerck, Luis E. C. Rocha, Filip Van Utterbeeck

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 3 21%
Professor > Associate Professor 2 14%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Social Sciences 4 29%
Physics and Astronomy 2 14%
Computer Science 2 14%
Mathematics 1 7%
Business, Management and Accounting 1 7%
Other 1 7%
Unknown 3 21%
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 09 November 2022.
All research outputs
#7,564,023
of 23,072,295 outputs
Outputs from Applied Network Science
#219
of 506 outputs
Outputs of similar age
#143,914
of 437,726 outputs
Outputs of similar age from Applied Network Science
#6
of 19 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 437,726 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 65% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.