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Movienet: a movie multilayer network model using visual and textual semantic cues

Overview of attention for article published in Applied Network Science, December 2019
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
20 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
29 Mendeley
Title
Movienet: a movie multilayer network model using visual and textual semantic cues
Published in
Applied Network Science, December 2019
DOI 10.1007/s41109-019-0226-0
Authors

Youssef Mourchid, Benjamin Renoust, Olivier Roupin, Lê Văn, Hocine Cherifi, Mohammed El Hassouni

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 7%
Student > Master 2 7%
Researcher 2 7%
Student > Ph. D. Student 2 7%
Lecturer 1 3%
Other 5 17%
Unknown 15 52%
Readers by discipline Count As %
Computer Science 7 24%
Business, Management and Accounting 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Arts and Humanities 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 15 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 January 2020.
All research outputs
#2,968,905
of 25,376,589 outputs
Outputs from Applied Network Science
#75
of 581 outputs
Outputs of similar age
#66,757
of 474,733 outputs
Outputs of similar age from Applied Network Science
#7
of 35 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 87% 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 474,733 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 85% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.