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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study
|
|---|---|
| Published in |
BMC Pulmonary Medicine, March 2021
|
| DOI | 10.1186/s12890-021-01467-w |
| Pubmed ID | |
| Authors |
Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, Delphine S. Courvoisier, David Rivollet, Deeksha M. Shama, Alexandre Perez, Hervé Spechbach, Véronique Trombert, Stéphane Bourquin, Martin Jaggi, Constance Barazzone-Argiroffo, Alain Gervaix, Johan N. Siebert |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 10% |
| Student > Bachelor | 20 | 10% |
| Researcher | 17 | 9% |
| Student > Ph. D. Student | 14 | 7% |
| Other | 8 | 4% |
| Other | 31 | 16% |
| Unknown | 84 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 20% |
| Nursing and Health Professions | 12 | 6% |
| Computer Science | 9 | 5% |
| Engineering | 8 | 4% |
| Unspecified | 6 | 3% |
| Other | 29 | 15% |
| Unknown | 92 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 25 November 2021.
All research outputs
#2,162,753
of 23,295,606 outputs
Outputs from BMC Pulmonary Medicine
#114
of 1,972 outputs
Outputs of similar age
#58,437
of 429,676 outputs
Outputs of similar age from BMC Pulmonary Medicine
#6
of 55 outputs
Altmetric has tracked 23,295,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,972 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 429,676 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 86% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.