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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
|
|---|---|
| Published in |
Scientific Reports, April 2017
|
| DOI | 10.1038/srep46450 |
| Pubmed ID | |
| Authors |
Angel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan, Natalie N.C. Shih, John Tomaszewski, Fabio A. González, Anant Madabhushi |
X Demographics
The data shown below were collected from the profiles of 83 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 | 28 | 34% |
| Spain | 4 | 5% |
| India | 3 | 4% |
| United Kingdom | 3 | 4% |
| Canada | 2 | 2% |
| Australia | 2 | 2% |
| Germany | 2 | 2% |
| South Africa | 1 | 1% |
| China | 1 | 1% |
| Other | 10 | 12% |
| Unknown | 27 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 63% |
| Scientists | 19 | 23% |
| Practitioners (doctors, other healthcare professionals) | 9 | 11% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 522 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 519 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 81 | 16% |
| Student > Ph. D. Student | 79 | 15% |
| Researcher | 72 | 14% |
| Student > Bachelor | 30 | 6% |
| Student > Doctoral Student | 28 | 5% |
| Other | 100 | 19% |
| Unknown | 132 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 128 | 25% |
| Medicine and Dentistry | 77 | 15% |
| Engineering | 57 | 11% |
| Biochemistry, Genetics and Molecular Biology | 28 | 5% |
| Agricultural and Biological Sciences | 17 | 3% |
| Other | 57 | 11% |
| Unknown | 158 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 173. 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 2024.
All research outputs
#238,361
of 25,724,500 outputs
Outputs from Scientific Reports
#2,801
of 142,641 outputs
Outputs of similar age
#4,956
of 324,863 outputs
Outputs of similar age from Scientific Reports
#98
of 4,240 outputs
Altmetric has tracked 25,724,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,641 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done particularly well, scoring higher than 98% 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 324,863 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 98% of its contemporaries.
We're also able to compare this research output to 4,240 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 97% of its contemporaries.