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Large-scale analysis of delayed recognition using sleeping beauty and the prince

Overview of attention for article published in Applied Network Science, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
16 Mendeley
Title
Large-scale analysis of delayed recognition using sleeping beauty and the prince
Published in
Applied Network Science, June 2021
DOI 10.1007/s41109-021-00389-0
Pubmed ID
Authors

Takahiro Miura, Kimitaka Asatani, Ichiro Sakata

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Librarian 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Computer Science 4 25%
Social Sciences 2 13%
Arts and Humanities 1 6%
Decision Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 7 44%
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 August 2021.
All research outputs
#7,406,066
of 23,308,124 outputs
Outputs from Applied Network Science
#210
of 513 outputs
Outputs of similar age
#155,721
of 442,459 outputs
Outputs of similar age from Applied Network Science
#5
of 23 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. 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 442,459 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 64% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.