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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From compute to care: Lessons learned from deploying an early warning system into clinical practice
|
|---|---|
| Published in |
Frontiers in Digital Health, September 2022
|
| DOI | 10.3389/fdgth.2022.932123 |
| Pubmed ID | |
| Authors |
Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, Muhammad Mamdani, Amol A. Verma |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 29% |
| United States | 2 | 14% |
| Switzerland | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 5 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Researcher | 2 | 6% |
| Professor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 19 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 12% |
| Computer Science | 3 | 9% |
| Unspecified | 2 | 6% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 November 2022.
All research outputs
#4,081,929
of 23,114,117 outputs
Outputs from Frontiers in Digital Health
#138
of 563 outputs
Outputs of similar age
#83,670
of 433,581 outputs
Outputs of similar age from Frontiers in Digital Health
#18
of 82 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 563 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 433,581 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 80% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.