| Title |
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD
|
|---|---|
| Published in |
Journal of Digital Imaging, April 2019
|
| DOI | 10.1007/s10278-018-0168-6 |
| Pubmed ID | |
| Authors |
Ray Cody Mayo, Daniel Kent, Lauren Chang Sen, Megha Kapoor, Jessica W. T. Leung, Alyssa T. Watanabe |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 11% |
| Student > Bachelor | 11 | 11% |
| Researcher | 10 | 10% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Postgraduate | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 45 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 16% |
| Engineering | 7 | 7% |
| Nursing and Health Professions | 6 | 6% |
| Computer Science | 5 | 5% |
| Business, Management and Accounting | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 51 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 January 2024.
All research outputs
#1,225,459
of 25,773,273 outputs
Outputs from Journal of Digital Imaging
#9
of 981 outputs
Outputs of similar age
#27,759
of 367,399 outputs
Outputs of similar age from Journal of Digital Imaging
#1
of 26 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They receive a mean Attention Score of 4.7. 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 367,399 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 92% of its contemporaries.
We're also able to compare this research output to 26 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.