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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Modulation Transfer Function for Speech Intelligibility
|
|---|---|
| Published in |
PLoS Computational Biology, March 2009
|
| DOI | 10.1371/journal.pcbi.1000302 |
| Pubmed ID | |
| Authors |
Taffeta M. Elliott, Frédéric E. Theunissen |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| France | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 488 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 3% |
| Germany | 3 | <1% |
| Netherlands | 2 | <1% |
| Canada | 2 | <1% |
| Denmark | 2 | <1% |
| Belgium | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 453 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 145 | 30% |
| Researcher | 96 | 20% |
| Student > Master | 56 | 11% |
| Student > Bachelor | 32 | 7% |
| Professor | 24 | 5% |
| Other | 71 | 15% |
| Unknown | 64 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 82 | 17% |
| Neuroscience | 80 | 16% |
| Agricultural and Biological Sciences | 77 | 16% |
| Psychology | 57 | 12% |
| Medicine and Dentistry | 22 | 5% |
| Other | 82 | 17% |
| Unknown | 88 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 March 2023.
All research outputs
#6,272,326
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#4,170
of 9,003 outputs
Outputs of similar age
#21,235
of 108,854 outputs
Outputs of similar age from PLoS Computational Biology
#18
of 47 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 53% 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 108,854 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 71% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.