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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization
|
|---|---|
| Published in |
Frontiers in Genetics, February 2020
|
| DOI | 10.3389/fgene.2020.00075 |
| Pubmed ID | |
| Authors |
Akram Emdadi, Changiz Eslahchi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 27% |
| Computer Science | 3 | 14% |
| Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 March 2020.
All research outputs
#18,160,272
of 26,567,854 outputs
Outputs from Frontiers in Genetics
#6,352
of 14,015 outputs
Outputs of similar age
#248,601
of 387,618 outputs
Outputs of similar age from Frontiers in Genetics
#155
of 389 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,015 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 49th percentile – i.e., 49% 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 387,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.