The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation framework for the use of AI in healthcare: overview of the new British standard BS30440
|
|---|---|
| Published in |
BMJ Health & Care Informatics, June 2023
|
| DOI | 10.1136/bmjhci-2023-100749 |
| Pubmed ID | |
| Authors |
Mark Sujan, Cassius Smith-Frazer, Christina Malamateniou, Joseph Connor, Allison Gardner, Harriet Unsworth, Haider Husain |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 28% |
| Australia | 1 | 3% |
| Unknown | 22 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 78% |
| Science communicators (journalists, bloggers, editors) | 3 | 9% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Scientists | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Student > Ph. D. Student | 1 | 4% |
| Unspecified | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 20 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 7% |
| Unspecified | 1 | 4% |
| Psychology | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 21 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 July 2024.
All research outputs
#1,793,078
of 26,180,352 outputs
Outputs from BMJ Health & Care Informatics
#39
of 508 outputs
Outputs of similar age
#33,785
of 383,628 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 23 outputs
Altmetric has tracked 26,180,352 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 508 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 92% 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 383,628 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 91% of its contemporaries.
We're also able to compare this research output to 23 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 95% of its contemporaries.