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Mendeley readers
Attention Score in Context
| 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 |
Ingo R. Titze, Tobias Riede |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Italy | 1 | 2% |
| Colombia | 1 | 2% |
| Belgium | 1 | 2% |
| France | 1 | 2% |
| Unknown | 48 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 8 | 14% |
| Researcher | 8 | 14% |
| Professor > Associate Professor | 5 | 9% |
| Other | 11 | 20% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 25% |
| Engineering | 10 | 18% |
| Medicine and Dentistry | 6 | 11% |
| Linguistics | 5 | 9% |
| Environmental Science | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 8 | 14% |
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
#1,567,131
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#1,322
of 9,003 outputs
Outputs of similar age
#5,053
of 104,652 outputs
Outputs of similar age from PLoS Computational Biology
#5
of 60 outputs
Altmetric has tracked 25,576,801 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 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 104,652 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 60 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.