↓ Skip to main content

A Cervid Vocal Fold Model Suggests Greater Glottal Efficiency in Calling at High Frequencies

Overview of attention for article published in PLoS Computational Biology, August 2010
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
3 news outlets

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A Cervid Vocal Fold Model Suggests Greater Glottal Efficiency in Calling at High Frequencies
Published in
PLoS Computational Biology, August 2010
DOI 10.1371/journal.pcbi.1000897
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
United Kingdom 2 3%
Italy 1 2%
France 1 2%
Colombia 1 2%
Belgium 1 2%
Unknown 51 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 17%
Student > Bachelor 9 15%
Student > Ph. D. Student 9 15%
Researcher 7 12%
Professor > Associate Professor 5 8%
Other 12 20%
Unknown 7 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 25%
Engineering 10 17%
Linguistics 5 8%
Medicine and Dentistry 5 8%
Environmental Science 4 7%
Other 10 17%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 12 September 2023.
All research outputs
#1,694,932
of 27,356,215 outputs
Outputs from PLoS Computational Biology
#1,338
of 9,308 outputs
Outputs of similar age
#5,523
of 112,475 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 58 outputs
Altmetric has tracked 27,356,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has done well, scoring higher than 85% 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 112,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.