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BiFold visualization of bipartite datasets

Overview of attention for article published in EPJ Data Science, April 2017
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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 (81st percentile)

Mentioned by

twitter
21 X users

Readers on

mendeley
8 Mendeley
Title
BiFold visualization of bipartite datasets
Published in
EPJ Data Science, April 2017
DOI 10.1140/epjds/s13688-017-0098-4
Authors

Yazhen Jiang, Joseph D Skufca, Jie Sun

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Other 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Arts and Humanities 1 13%
Computer Science 1 13%
Psychology 1 13%
Physics and Astronomy 1 13%
Other 0 0%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 May 2017.
All research outputs
#3,462,829
of 24,998,746 outputs
Outputs from EPJ Data Science
#244
of 423 outputs
Outputs of similar age
#59,718
of 315,605 outputs
Outputs of similar age from EPJ Data Science
#5
of 5 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one is in the 42nd percentile – i.e., 42% 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 315,605 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.