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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
|
---|---|
Published in |
PeerJ, July 2014
|
DOI | 10.7717/peerj.488 |
Pubmed ID | |
Authors |
Dan Stowell, Mark D. Plumbley |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 11% |
Indonesia | 1 | 3% |
Finland | 1 | 3% |
Russia | 1 | 3% |
United States | 1 | 3% |
Spain | 1 | 3% |
Japan | 1 | 3% |
Cyprus | 1 | 3% |
Germany | 1 | 3% |
Other | 1 | 3% |
Unknown | 25 | 66% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 63% |
Scientists | 13 | 34% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Italy | 2 | <1% |
Germany | 2 | <1% |
South Africa | 2 | <1% |
United Kingdom | 2 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Canada | 1 | <1% |
Other | 5 | 1% |
Unknown | 376 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 77 | 19% |
Researcher | 73 | 18% |
Student > Master | 61 | 15% |
Student > Bachelor | 36 | 9% |
Other | 24 | 6% |
Other | 69 | 17% |
Unknown | 56 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 104 | 26% |
Computer Science | 73 | 18% |
Environmental Science | 56 | 14% |
Engineering | 46 | 12% |
Arts and Humanities | 9 | 2% |
Other | 43 | 11% |
Unknown | 65 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 174. 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 January 2024.
All research outputs
#245,429
of 26,388,722 outputs
Outputs from PeerJ
#295
of 15,596 outputs
Outputs of similar age
#1,783
of 228,560 outputs
Outputs of similar age from PeerJ
#6
of 132 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done particularly well, scoring higher than 98% 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 228,560 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 99% of its contemporaries.
We're also able to compare this research output to 132 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 95% of its contemporaries.