| Title |
Deep Learning-Based Multi-Class Classification of Breast Digital Pathology Images
|
|---|---|
| Published in |
Cancer Management and Research, June 2021
|
| DOI | 10.2147/cmar.s312608 |
| Pubmed ID | |
| Authors |
Weiming Mi, Junjie Li, Yucheng Guo, Xinyu Ren, Zhiyong Liang, Tao Zhang, Hao Zou |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
| Spain | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 3 | 6% |
| Lecturer | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 31 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 24% |
| Medicine and Dentistry | 5 | 9% |
| Engineering | 3 | 6% |
| Unspecified | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 28 | 52% |
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 19 June 2021.
All research outputs
#7,048,346
of 23,538,320 outputs
Outputs from Cancer Management and Research
#296
of 2,034 outputs
Outputs of similar age
#150,475
of 449,254 outputs
Outputs of similar age from Cancer Management and Research
#17
of 131 outputs
Altmetric has tracked 23,538,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,034 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 449,254 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 66% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.