Title |
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
|
---|---|
Published in |
European Radiology, June 2019
|
DOI | 10.1007/s00330-019-06244-2 |
Pubmed ID | |
Authors |
Michela Antonelli, Edward W. Johnston, Nikolaos Dikaios, King K. Cheung, Harbir S. Sidhu, Mrishta B. Appayya, Francesco Giganti, Lucy A. M. Simmons, Alex Freeman, Clare Allen, Hashim U. Ahmed, David Atkinson, Sebastien Ourselin, Shonit Punwani |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
Italy | 1 | 11% |
Switzerland | 1 | 11% |
Netherlands | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Scientists | 2 | 22% |
Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 115 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 13% |
Researcher | 12 | 10% |
Student > Ph. D. Student | 11 | 10% |
Other | 8 | 7% |
Student > Doctoral Student | 7 | 6% |
Other | 16 | 14% |
Unknown | 46 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 24% |
Computer Science | 13 | 11% |
Engineering | 5 | 4% |
Nursing and Health Professions | 4 | 3% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 9 | 8% |
Unknown | 53 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 December 2019.
All research outputs
#6,211,869
of 23,150,406 outputs
Outputs from European Radiology
#868
of 4,191 outputs
Outputs of similar age
#112,648
of 353,595 outputs
Outputs of similar age from European Radiology
#10
of 61 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,191 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 353,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.