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Multilayer networks for text analysis with multiple data types

Overview of attention for article published in EPJ Data Science, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
26 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
31 Mendeley
Title
Multilayer networks for text analysis with multiple data types
Published in
EPJ Data Science, June 2021
DOI 10.1140/epjds/s13688-021-00288-5
Authors

Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 5 16%
Student > Bachelor 4 13%
Professor > Associate Professor 3 10%
Professor 3 10%
Other 6 19%
Unknown 4 13%
Readers by discipline Count As %
Business, Management and Accounting 4 13%
Computer Science 4 13%
Social Sciences 3 10%
Physics and Astronomy 3 10%
Economics, Econometrics and Finance 2 6%
Other 9 29%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 July 2021.
All research outputs
#2,446,069
of 25,468,789 outputs
Outputs from EPJ Data Science
#208
of 445 outputs
Outputs of similar age
#59,062
of 454,114 outputs
Outputs of similar age from EPJ Data Science
#6
of 15 outputs
Altmetric has tracked 25,468,789 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 445 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has gotten more attention than average, scoring higher than 53% 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 454,114 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 86% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.