| Title |
Breast cancer outcome prediction with tumour tissue images and machine learning
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, May 2019
|
| DOI | 10.1007/s10549-019-05281-1 |
| Pubmed ID | |
| Authors |
Riku Turkki, Dmitrii Byckhov, Mikael Lundin, Jorma Isola, Stig Nordling, Panu E. Kovanen, Clare Verrill, Karl von Smitten, Heikki Joensuu, Johan Lundin, Nina Linder |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| Sweden | 1 | 7% |
| United Kingdom | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Practitioners (doctors, other healthcare professionals) | 3 | 21% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 13% |
| Student > Bachelor | 21 | 11% |
| Student > Master | 17 | 9% |
| Researcher | 16 | 8% |
| Student > Doctoral Student | 8 | 4% |
| Other | 29 | 15% |
| Unknown | 83 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 17% |
| Medicine and Dentistry | 26 | 13% |
| Engineering | 15 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Unspecified | 6 | 3% |
| Other | 19 | 10% |
| Unknown | 92 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 30 April 2022.
All research outputs
#2,305,450
of 26,017,215 outputs
Outputs from Breast Cancer Research and Treatment
#308
of 5,117 outputs
Outputs of similar age
#48,083
of 368,091 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#4
of 71 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 93% 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 368,091 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 86% of its contemporaries.
We're also able to compare this research output to 71 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 94% of its contemporaries.