| 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 25% |
| Student > Bachelor | 4 | 11% |
| Other | 3 | 8% |
| Student > Postgraduate | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 25% |
| Unspecified | 5 | 14% |
| Nursing and Health Professions | 3 | 8% |
| Computer Science | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 02 September 2023.
All research outputs
#3,309,285
of 24,833,726 outputs
Outputs from BMC Cancer
#749
of 8,795 outputs
Outputs of similar age
#59,615
of 373,141 outputs
Outputs of similar age from BMC Cancer
#9
of 151 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,795 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 91% 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 373,141 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 83% of its contemporaries.
We're also able to compare this research output to 151 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 94% of its contemporaries.