| Title |
Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility
|
|---|---|
| Published in |
CPT: Pharmacometrics & Systems Pharmacology, February 2022
|
| DOI | 10.1002/psp4.12761 |
| Pubmed ID | |
| Authors |
Andreas D. Meid, Alexander Gerharz, Andreas Groll |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Ph. D. Student | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Economics, Econometrics and Finance | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 February 2022.
All research outputs
#15,015,838
of 23,098,660 outputs
Outputs from CPT: Pharmacometrics & Systems Pharmacology
#354
of 677 outputs
Outputs of similar age
#262,647
of 505,072 outputs
Outputs of similar age from CPT: Pharmacometrics & Systems Pharmacology
#21
of 25 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 677 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 505,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.