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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings
|
|---|---|
| Published in |
Breast Cancer Research, October 2019
|
| DOI | 10.1186/s13058-019-1200-6 |
| Pubmed ID | |
| Authors |
Haojia Li, Jon Whitney, Kaustav Bera, Hannah Gilmore, Mangesh A. Thorat, Sunil Badve, Anant Madabhushi |
X Demographics
The data shown below were collected from the profiles of 9 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 | 6 | 67% |
| Canada | 1 | 11% |
| India | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Computer Science | 6 | 12% |
| Nursing and Health Professions | 5 | 10% |
| Engineering | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 24 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 02 November 2020.
All research outputs
#1,340,714
of 25,387,668 outputs
Outputs from Breast Cancer Research
#108
of 2,054 outputs
Outputs of similar age
#29,057
of 368,977 outputs
Outputs of similar age from Breast Cancer Research
#2
of 20 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 94% 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 368,977 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 20 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 90% of its contemporaries.