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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
|
|---|---|
| Published in |
Respiratory Research, September 2020
|
| DOI | 10.1186/s12931-020-01523-9 |
| Pubmed ID | |
| Authors |
Ajay Kevat, Anaath Kalirajah, Robert Roseby |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| Australia | 1 | 13% |
| Luxembourg | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Other | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 12 | 27% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 31% |
| Nursing and Health Professions | 5 | 11% |
| Computer Science | 5 | 11% |
| Engineering | 3 | 7% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 31% |
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 13 August 2022.
All research outputs
#6,338,018
of 25,387,668 outputs
Outputs from Respiratory Research
#754
of 3,063 outputs
Outputs of similar age
#131,440
of 432,829 outputs
Outputs of similar age from Respiratory Research
#22
of 87 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,063 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 75% 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 432,829 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 69% of its contemporaries.
We're also able to compare this research output to 87 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 74% of its contemporaries.