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Mendeley readers
Attention Score in Context
| Title |
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2007
|
| DOI | 10.1186/1475-925x-6-23 |
| Pubmed ID | |
| Authors |
Max A Little, Patrick E McSharry, Stephen J Roberts, Declan AE Costello, Irene M Moroz |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 4 | 1% |
| Chile | 2 | <1% |
| Norway | 2 | <1% |
| Colombia | 2 | <1% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 278 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 21% |
| Researcher | 42 | 14% |
| Student > Master | 38 | 12% |
| Student > Bachelor | 25 | 8% |
| Student > Doctoral Student | 16 | 5% |
| Other | 49 | 16% |
| Unknown | 70 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 72 | 24% |
| Computer Science | 63 | 21% |
| Medicine and Dentistry | 13 | 4% |
| Physics and Astronomy | 11 | 4% |
| Agricultural and Biological Sciences | 9 | 3% |
| Other | 50 | 16% |
| Unknown | 87 | 29% |
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 10 August 2021.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#238
of 867 outputs
Outputs of similar age
#28,448
of 78,506 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 3 outputs
Altmetric has tracked 25,371,288 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 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 60% 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 78,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them