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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital Pathology Analysis Quantifies Spatial Heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 Immune Markers in Triple-Negative Breast Cancer
|
|---|---|
| Published in |
Frontiers in Physiology, October 2020
|
| DOI | 10.3389/fphys.2020.583333 |
| Pubmed ID | |
| Authors |
Haoyang Mi, Chang Gong, Jeremias Sulam, Elana J. Fertig, Alexander S. Szalay, Elizabeth M. Jaffee, Vered Stearns, Leisha A. Emens, Ashley M. Cimino-Mathews, Aleksander S. Popel |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 21% |
| Researcher | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 6 | 8% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Engineering | 5 | 7% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 14 | 19% |
| Unknown | 21 | 29% |
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 15 December 2020.
All research outputs
#17,832,285
of 22,908,162 outputs
Outputs from Frontiers in Physiology
#7,191
of 13,694 outputs
Outputs of similar age
#295,430
of 417,469 outputs
Outputs of similar age from Frontiers in Physiology
#248
of 443 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,694 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 417,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 443 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.