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Identifying the temporal dynamics of densification and sparsification in human contact networks

Overview of attention for article published in EPJ Data Science, October 2022
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Title
Identifying the temporal dynamics of densification and sparsification in human contact networks
Published in
EPJ Data Science, October 2022
DOI 10.1140/epjds/s13688-022-00365-3
Authors

Shaunette T. Ferguson, Teruyoshi Kobayashi

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%
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 19 November 2022.
All research outputs
#4,565,313
of 25,599,531 outputs
Outputs from EPJ Data Science
#291
of 453 outputs
Outputs of similar age
#89,966
of 441,198 outputs
Outputs of similar age from EPJ Data Science
#4
of 9 outputs
Altmetric has tracked 25,599,531 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one is in the 35th percentile – i.e., 35% 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 441,198 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 79% 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 5 of them.