| Title |
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists
|
|---|---|
| Published in |
JNCI: Journal of the National Cancer Institute, March 2019
|
| DOI | 10.1093/jnci/djy222 |
| Pubmed ID | |
| Authors |
Alejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, Mireille Broeders, Gisella Gennaro, Paola Clauser, Thomas H Helbich, Margarita Chevalier, Tao Tan, Thomas Mertelmeier, Matthew G Wallis, Ingvar Andersson, Sophia Zackrisson, Ritse M Mann, Ioannis Sechopoulos |
X Demographics
The data shown below were collected from the profiles of 95 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 | 24 | 25% |
| Spain | 8 | 8% |
| Turkey | 4 | 4% |
| France | 4 | 4% |
| United Kingdom | 4 | 4% |
| Australia | 2 | 2% |
| Saudi Arabia | 2 | 2% |
| Netherlands | 2 | 2% |
| Germany | 2 | 2% |
| Other | 14 | 15% |
| Unknown | 29 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 64 | 67% |
| Scientists | 20 | 21% |
| Practitioners (doctors, other healthcare professionals) | 7 | 7% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 616 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 616 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 11% |
| Student > Bachelor | 62 | 10% |
| Student > Ph. D. Student | 56 | 9% |
| Student > Master | 53 | 9% |
| Other | 26 | 4% |
| Other | 86 | 14% |
| Unknown | 267 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 89 | 14% |
| Computer Science | 48 | 8% |
| Engineering | 37 | 6% |
| Biochemistry, Genetics and Molecular Biology | 27 | 4% |
| Unspecified | 18 | 3% |
| Other | 104 | 17% |
| Unknown | 293 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 889. 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 20 May 2024.
All research outputs
#20,395
of 26,005,389 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#12
of 7,917 outputs
Outputs of similar age
#417
of 368,784 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#1
of 55 outputs
Altmetric has tracked 26,005,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has done particularly well, scoring higher than 99% 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 368,784 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 99% 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 particularly well, scoring higher than 98% of its contemporaries.