| Title |
Machine learning and feature selection for drug response prediction in precision oncology applications
|
|---|---|
| Published in |
Biophysical Reviews, August 2018
|
| DOI | 10.1007/s12551-018-0446-z |
| Pubmed ID | |
| Authors |
Mehreen Ali, Tero Aittokallio |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 264 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 17% |
| Student > Ph. D. Student | 45 | 17% |
| Student > Bachelor | 32 | 12% |
| Student > Master | 22 | 8% |
| Student > Doctoral Student | 9 | 3% |
| Other | 30 | 11% |
| Unknown | 80 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 18% |
| Computer Science | 38 | 14% |
| Agricultural and Biological Sciences | 23 | 9% |
| Medicine and Dentistry | 15 | 6% |
| Engineering | 12 | 5% |
| Other | 38 | 14% |
| Unknown | 91 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 February 2019.
All research outputs
#15,695,810
of 25,837,817 outputs
Outputs from Biophysical Reviews
#278
of 959 outputs
Outputs of similar age
#182,237
of 344,639 outputs
Outputs of similar age from Biophysical Reviews
#4
of 8 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 959 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 70% 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 344,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.