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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
|
|---|---|
| Published in |
Frontiers in Medicine, February 2023
|
| DOI | 10.3389/fmed.2023.1086097 |
| Pubmed ID | |
| Authors |
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 7% |
| Student > Ph. D. Student | 5 | 6% |
| Student > Master | 4 | 5% |
| Other | 2 | 2% |
| Student > Doctoral Student | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 64 | 74% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Chemical Engineering | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 65 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 September 2023.
All research outputs
#3,389,404
of 24,488,567 outputs
Outputs from Frontiers in Medicine
#933
of 6,674 outputs
Outputs of similar age
#72,479
of 487,802 outputs
Outputs of similar age from Frontiers in Medicine
#40
of 398 outputs
Altmetric has tracked 24,488,567 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 85% 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 487,802 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 85% of its contemporaries.
We're also able to compare this research output to 398 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 90% of its contemporaries.