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Course-prerequisite networks for analyzing and understanding academic curricula

Overview of attention for article published in Applied Network Science, April 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Readers on

mendeley
8 Mendeley
Title
Course-prerequisite networks for analyzing and understanding academic curricula
Published in
Applied Network Science, April 2023
DOI 10.1007/s41109-023-00543-w
Authors

Pavlos Stavrinides, Konstantin M. Zuev

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 25%
Lecturer 2 25%
Researcher 1 13%
Professor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 2 25%
Mathematics 1 13%
Arts and Humanities 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Medicine and Dentistry 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 4. 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 2023.
All research outputs
#8,270,333
of 25,392,582 outputs
Outputs from Applied Network Science
#239
of 582 outputs
Outputs of similar age
#144,766
of 419,266 outputs
Outputs of similar age from Applied Network Science
#2
of 12 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 582 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 gotten more attention than average, scoring higher than 58% 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 419,266 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 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.