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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An artificial intelligence-enabled smartphone app for real-time pressure injury assessment
|
|---|---|
| Published in |
Frontiers in Medical Technology, September 2022
|
| DOI | 10.3389/fmedt.2022.905074 |
| Pubmed ID | |
| Authors |
Chun Hon Lau, Ken Hung-On Yu, Tsz Fung Yip, Luke Yik Fung Luk, Abraham Ka Chung Wai, Tin-Yan Sit, Janet Yuen-Ha Wong, Joshua Wing Kei Ho |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 3 | 50% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 7% |
| Lecturer | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Student > Postgraduate | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 35 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 9% |
| Social Sciences | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Engineering | 3 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 36 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 November 2022.
All research outputs
#6,467,470
of 23,098,660 outputs
Outputs from Frontiers in Medical Technology
#36
of 218 outputs
Outputs of similar age
#122,759
of 436,380 outputs
Outputs of similar age from Frontiers in Medical Technology
#3
of 27 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 218 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 82% 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 436,380 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 71% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.