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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
|
|---|---|
| Published in |
npj Digital Medicine, February 2021
|
| DOI | 10.1038/s41746-021-00412-9 |
| Pubmed ID | |
| Authors |
Dinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih-Chung Tham, Tien Yin Wong |
X Demographics
The data shown below were collected from the profiles of 65 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 | 5 | 8% |
| Spain | 5 | 8% |
| United States | 4 | 6% |
| Australia | 2 | 3% |
| Switzerland | 2 | 3% |
| Brazil | 1 | 2% |
| Ireland | 1 | 2% |
| Singapore | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 8 | 12% |
| Unknown | 35 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 46 | 71% |
| Practitioners (doctors, other healthcare professionals) | 10 | 15% |
| Scientists | 8 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 383 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 10% |
| Student > Master | 37 | 10% |
| Student > Ph. D. Student | 24 | 6% |
| Student > Bachelor | 23 | 6% |
| Student > Doctoral Student | 17 | 4% |
| Other | 66 | 17% |
| Unknown | 177 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 11% |
| Computer Science | 29 | 8% |
| Nursing and Health Professions | 25 | 7% |
| Social Sciences | 20 | 5% |
| Engineering | 18 | 5% |
| Other | 60 | 16% |
| Unknown | 187 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 02 December 2022.
All research outputs
#851,131
of 25,782,229 outputs
Outputs from npj Digital Medicine
#262
of 1,033 outputs
Outputs of similar age
#24,109
of 453,792 outputs
Outputs of similar age from npj Digital Medicine
#17
of 59 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has gotten more attention than average, scoring higher than 74% 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 453,792 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 71% of its contemporaries.