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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
|
|---|---|
| Published in |
Breast Cancer Research, July 2019
|
| DOI | 10.1186/s13058-019-1165-5 |
| Pubmed ID | |
| Authors |
Sergey Klimov, Islam M. Miligy, Arkadiusz Gertych, Yi Jiang, Michael S. Toss, Padmashree Rida, Ian O. Ellis, Andrew Green, Uma Krishnamurti, Emad A. Rakha, Ritu Aneja |
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 % |
|---|---|---|
| United States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 10% |
| Researcher | 14 | 10% |
| Other | 11 | 7% |
| Student > Ph. D. Student | 11 | 7% |
| Student > Bachelor | 10 | 7% |
| Other | 25 | 17% |
| Unknown | 61 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 20% |
| Computer Science | 18 | 12% |
| Nursing and Health Professions | 8 | 5% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Engineering | 6 | 4% |
| Other | 12 | 8% |
| Unknown | 65 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 February 2021.
All research outputs
#15,179,141
of 25,385,509 outputs
Outputs from Breast Cancer Research
#1,329
of 2,054 outputs
Outputs of similar age
#186,859
of 359,325 outputs
Outputs of similar age from Breast Cancer Research
#17
of 28 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 359,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.