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Idiopathic Hypersomnia—A Dynamic Simulation Model

Overview of attention for article published in Frontiers in Neurology, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Idiopathic Hypersomnia—A Dynamic Simulation Model
Published in
Frontiers in Neurology, June 2022
DOI 10.3389/fneur.2022.902637
Pubmed ID
Authors

Marek Susta, Karel Šonka, Gustav Bizik, Svojmil Petranek, Sona Nevsimalova

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Doctoral Student 1 8%
Unknown 8 67%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Psychology 1 8%
Engineering 1 8%
Unknown 8 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 July 2022.
All research outputs
#13,829,178
of 24,654,416 outputs
Outputs from Frontiers in Neurology
#5,141
of 13,744 outputs
Outputs of similar age
#167,824
of 435,668 outputs
Outputs of similar age from Frontiers in Neurology
#185
of 789 outputs
Altmetric has tracked 24,654,416 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 62% 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 435,668 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 60% of its contemporaries.
We're also able to compare this research output to 789 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.