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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2019
|
| DOI | 10.3389/fbioe.2019.00145 |
| Pubmed ID | |
| Authors |
Gabriel Jiménez, Daniel Racoceanu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 12 | 12% |
| Researcher | 11 | 11% |
| Student > Master | 8 | 8% |
| Student > Postgraduate | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 43 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 18% |
| Medicine and Dentistry | 12 | 12% |
| Engineering | 11 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Social Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 49 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 July 2019.
All research outputs
#15,575,425
of 23,150,406 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,674
of 6,839 outputs
Outputs of similar age
#216,085
of 352,212 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#47
of 84 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,839 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% 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 352,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.