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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AI‐guided histopathology predicts brain metastasis in lung cancer patients
|
|---|---|
| Published in |
The Journal of Pathology, March 2024
|
| DOI | 10.1002/path.6263 |
| Pubmed ID | |
| Authors |
Haowen Zhou, Mark Watson, Cory T Bernadt, Steven Lin, Chieh‐yu Lin, Jon H Ritter, Alexander Wein, Simon Mahler, Sid Rawal, Ramaswamy Govindan, Changhuei Yang, Richard J Cote |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Germany | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 7 | 54% |
| Researcher | 2 | 15% |
| Professor > Associate Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 7 | 54% |
| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Engineering | 1 | 8% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 131. 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 08 April 2024.
All research outputs
#322,314
of 25,660,026 outputs
Outputs from The Journal of Pathology
#19
of 3,394 outputs
Outputs of similar age
#3,556
of 278,244 outputs
Outputs of similar age from The Journal of Pathology
#1
of 13 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,394 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 99% 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 278,244 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.