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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children
|
|---|---|
| Published in |
Respiratory Research, June 2019
|
| DOI | 10.1186/s12931-019-1046-6 |
| Pubmed ID | |
| Authors |
Paul Porter, Udantha Abeyratne, Vinayak Swarnkar, Jamie Tan, Ti-wan Ng, Joanna M. Brisbane, Deirdre Speldewinde, Jennifer Choveaux, Roneel Sharan, Keegan Kosasih, Phillip Della |
X Demographics
The data shown below were collected from the profiles of 43 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 | 9 | 21% |
| Canada | 5 | 12% |
| Australia | 4 | 9% |
| France | 2 | 5% |
| Venezuela, Bolivarian Republic of | 2 | 5% |
| Brazil | 2 | 5% |
| South Africa | 1 | 2% |
| Italy | 1 | 2% |
| Nepal | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 72% |
| Scientists | 8 | 19% |
| Practitioners (doctors, other healthcare professionals) | 4 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 14% |
| Researcher | 24 | 13% |
| Student > Master | 20 | 11% |
| Other | 13 | 7% |
| Student > Bachelor | 13 | 7% |
| Other | 32 | 17% |
| Unknown | 60 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 19% |
| Computer Science | 19 | 10% |
| Nursing and Health Professions | 15 | 8% |
| Engineering | 14 | 7% |
| Psychology | 7 | 4% |
| Other | 26 | 14% |
| Unknown | 71 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 192. 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 15 August 2023.
All research outputs
#211,435
of 25,734,859 outputs
Outputs from Respiratory Research
#17
of 3,104 outputs
Outputs of similar age
#4,143
of 368,063 outputs
Outputs of similar age from Respiratory Research
#4
of 84 outputs
Altmetric has tracked 25,734,859 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 3,104 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 99% 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 368,063 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 98% of its contemporaries.
We're also able to compare this research output to 84 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.