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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
|
|---|---|
| Published in |
Cancer Research, December 2021
|
| DOI | 10.1158/0008-5472.can-21-2843 |
| Pubmed ID | |
| Authors |
Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, Gan Gao, Qinghua Han, Kevin W. Bishop, Lindsey A. Barner, Pingfu Fu, Jonathan L. Wright, C. Dirk Keene, Joshua C. Vaughan, Andrew Janowczyk, Adam K. Glaser, Anant Madabhushi, Lawrence D. True, Jonathan T.C. Liu |
X Demographics
The data shown below were collected from the profiles of 44 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 | 27 | 61% |
| Germany | 2 | 5% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| France | 1 | 2% |
| Unknown | 10 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 59% |
| Scientists | 15 | 34% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 28 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 14% |
| Medicine and Dentistry | 5 | 7% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 30 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 517. 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 23 November 2022.
All research outputs
#49,973
of 25,775,807 outputs
Outputs from Cancer Research
#29
of 18,888 outputs
Outputs of similar age
#1,566
of 518,632 outputs
Outputs of similar age from Cancer Research
#1
of 102 outputs
Altmetric has tracked 25,775,807 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 18,888 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 518,632 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 102 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 99% of its contemporaries.