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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gradient boosting for Parkinson’s disease diagnosis from voice recordings
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2020
|
| DOI | 10.1186/s12911-020-01250-7 |
| Pubmed ID | |
| Authors |
Ibrahim Karabayir, Samuel M. Goldman, Suguna Pappu, Oguz Akbilgic |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 14% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Student > Ph. D. Student | 6 | 6% |
| Other | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 41 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 15% |
| Medicine and Dentistry | 11 | 12% |
| Neuroscience | 6 | 6% |
| Engineering | 5 | 5% |
| Nursing and Health Professions | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 44 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 February 2022.
All research outputs
#2,471,861
of 23,098,660 outputs
Outputs from BMC Medical Informatics and Decision Making
#172
of 2,013 outputs
Outputs of similar age
#67,044
of 402,341 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 54 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 402,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 54 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 92% of its contemporaries.