| 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 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% |
| Unspecified | 3 | 3% |
| Other | 15 | 15% |
| Unknown | 44 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 17% |
| 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 34. 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
#1,175,531
of 25,231,854 outputs
Outputs from Journal of Digital Imaging
#11
of 1,122 outputs
Outputs of similar age
#26,773
of 359,885 outputs
Outputs of similar age from Journal of Digital Imaging
#1
of 29 outputs
Altmetric has tracked 25,231,854 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 1,122 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 359,885 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 29 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 99% of its contemporaries.