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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of artificial intelligence in healthcare: a structured literature review
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2021
|
| DOI | 10.1186/s12911-021-01488-9 |
| Pubmed ID | |
| Authors |
Silvana Secinaro, Davide Calandra, Aurelio Secinaro, Vivek Muthurangu, Paolo Biancone |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| United States | 1 | 8% |
| Venezuela, Bolivarian Republic of | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,027 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1027 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 80 | 8% |
| Student > Ph. D. Student | 65 | 6% |
| Researcher | 52 | 5% |
| Unspecified | 51 | 5% |
| Student > Bachelor | 51 | 5% |
| Other | 169 | 16% |
| Unknown | 559 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 79 | 8% |
| Medicine and Dentistry | 55 | 5% |
| Unspecified | 50 | 5% |
| Business, Management and Accounting | 49 | 5% |
| Engineering | 47 | 5% |
| Other | 167 | 16% |
| Unknown | 580 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 17 April 2024.
All research outputs
#1,543,494
of 25,729,842 outputs
Outputs from BMC Medical Informatics and Decision Making
#70
of 2,157 outputs
Outputs of similar age
#41,449
of 458,295 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 59 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% 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 458,295 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 90% 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 done particularly well, scoring higher than 96% of its contemporaries.