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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of 3D pathology samples using weakly supervised AI
|
|---|---|
| Published in |
Cell, May 2024
|
| DOI | 10.1016/j.cell.2024.03.035 |
| Pubmed ID | |
| Authors |
Andrew H Song, Mane Williams, Drew F K Williamson, Sarah S L Chow, Guillaume Jaume, Gan Gao, Andrew Zhang, Bowen Chen, Alexander S Baras, Robert Serafin, Richard Colling, Michelle R Downes, Xavier Farré, Peter Humphrey, Clare Verrill, Lawrence D True, Anil V Parwani, Jonathan T C Liu, Faisal Mahmood |
X Demographics
The data shown below were collected from the profiles of 206 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 | 57 | 28% |
| Japan | 12 | 6% |
| Spain | 7 | 3% |
| United Kingdom | 7 | 3% |
| India | 6 | 3% |
| Italy | 6 | 3% |
| Canada | 5 | 2% |
| Australia | 5 | 2% |
| France | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 81 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 124 | 60% |
| Scientists | 66 | 32% |
| Practitioners (doctors, other healthcare professionals) | 14 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 24% |
| Researcher | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Professor | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 5 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Arts and Humanities | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 185. 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 01 June 2024.
All research outputs
#224,226
of 26,033,965 outputs
Outputs from Cell
#1,234
of 17,392 outputs
Outputs of similar age
#2,372
of 257,699 outputs
Outputs of similar age from Cell
#24
of 110 outputs
Altmetric has tracked 26,033,965 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.1. This one has done particularly well, scoring higher than 92% 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 257,699 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 99% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.