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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accessing Artificial Intelligence for Clinical Decision-Making
|
|---|---|
| Published in |
Frontiers in Digital Health, June 2021
|
| DOI | 10.3389/fdgth.2021.645232 |
| Pubmed ID | |
| Authors |
Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick Tighe |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 9% |
| Student > Ph. D. Student | 17 | 9% |
| Researcher | 15 | 8% |
| Unspecified | 13 | 7% |
| Student > Bachelor | 10 | 5% |
| Other | 31 | 16% |
| Unknown | 95 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 9% |
| Computer Science | 15 | 8% |
| Unspecified | 14 | 7% |
| Nursing and Health Professions | 10 | 5% |
| Engineering | 9 | 5% |
| Other | 33 | 17% |
| Unknown | 100 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 October 2023.
All research outputs
#1,374,898
of 24,601,689 outputs
Outputs from Frontiers in Digital Health
#36
of 732 outputs
Outputs of similar age
#34,246
of 433,816 outputs
Outputs of similar age from Frontiers in Digital Health
#8
of 55 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 732 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 95% 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 433,816 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 92% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.