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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
|
|---|---|
| Published in |
Cancer Imaging, September 2019
|
| DOI | 10.1186/s40644-019-0252-2 |
| Pubmed ID | |
| Authors |
Yu Ji, Hui Li, Alexandra V. Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L. Giger |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| Canada | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Student > Doctoral Student | 4 | 4% |
| Other | 16 | 18% |
| Unknown | 43 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 18% |
| Computer Science | 10 | 11% |
| Engineering | 5 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 45 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 October 2019.
All research outputs
#8,480,262
of 25,385,509 outputs
Outputs from Cancer Imaging
#123
of 674 outputs
Outputs of similar age
#141,045
of 353,365 outputs
Outputs of similar age from Cancer Imaging
#3
of 11 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 81% 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 353,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.