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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
|
|---|---|
| Published in |
BMC Cancer, May 2023
|
| DOI | 10.1186/s12885-023-10890-7 |
| Pubmed ID | |
| Authors |
Nisha Sharma, Annie Y. Ng, Jonathan J. James, Galvin Khara, Éva Ambrózay, Christopher C. Austin, Gábor Forrai, Georgia Fox, Ben Glocker, Andreas Heindl, Edit Karpati, Tobias M. Rijken, Vignesh Venkataraman, Joseph E. Yearsley, Peter D. Kecskemethy |
X Demographics
The data shown below were collected from the profiles of 13 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 | 7 | 54% |
| United States | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Practitioners (doctors, other healthcare professionals) | 3 | 23% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 10 | 26% |
| Student > Bachelor | 4 | 11% |
| Other | 3 | 8% |
| Student > Postgraduate | 2 | 5% |
| Student > Master | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Unspecified | 6 | 16% |
| Nursing and Health Professions | 4 | 11% |
| Computer Science | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 14 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 24 April 2024.
All research outputs
#1,933,295
of 25,774,185 outputs
Outputs from BMC Cancer
#293
of 9,092 outputs
Outputs of similar age
#37,554
of 394,089 outputs
Outputs of similar age from BMC Cancer
#3
of 154 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,092 research outputs from this source. They receive a mean Attention Score of 4.7. 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 394,089 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 154 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 98% of its contemporaries.