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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images
|
|---|---|
| Published in |
Frontiers in oncology, January 2021
|
| DOI | 10.3389/fonc.2020.586292 |
| Pubmed ID | |
| Authors |
Konstantinos Zormpas-Petridis, Rosa Noguera, Daniela Kolarevic Ivankovic, Ioannis Roxanis, Yann Jamin, Yinyin Yuan |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Switzerland | 1 | 14% |
| India | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 34 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 23% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Engineering | 3 | 4% |
| Unspecified | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 36 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 December 2021.
All research outputs
#14,925,951
of 25,387,668 outputs
Outputs from Frontiers in oncology
#4,144
of 22,433 outputs
Outputs of similar age
#258,556
of 523,505 outputs
Outputs of similar age from Frontiers in oncology
#168
of 730 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 523,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 730 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.