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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
|
|---|---|
| Published in |
The Journal of Pathology, September 2019
|
| DOI | 10.1002/path.5331 |
| Pubmed ID | |
| Authors |
Esther Abels, Liron Pantanowitz, Famke Aeffner, Mark D Zarella, Jeroen van der Laak, Marilyn M Bui, Venkata NP Vemuri, Anil V Parwani, Jeff Gibbs, Emmanuel Agosto‐Arroyo, Andrew H Beck, Cleopatra Kozlowski |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 2 | 17% |
| Canada | 1 | 8% |
| Sweden | 1 | 8% |
| Colombia | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 341 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 341 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 12% |
| Student > Master | 38 | 11% |
| Researcher | 36 | 11% |
| Student > Doctoral Student | 23 | 7% |
| Other | 16 | 5% |
| Other | 64 | 19% |
| Unknown | 123 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 68 | 20% |
| Computer Science | 51 | 15% |
| Biochemistry, Genetics and Molecular Biology | 15 | 4% |
| Engineering | 15 | 4% |
| Unspecified | 10 | 3% |
| Other | 51 | 15% |
| Unknown | 131 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 January 2024.
All research outputs
#3,206,799
of 25,837,817 outputs
Outputs from The Journal of Pathology
#295
of 3,428 outputs
Outputs of similar age
#61,815
of 353,497 outputs
Outputs of similar age from The Journal of Pathology
#3
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,428 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 91% 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 353,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.