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 |
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
|
|---|---|
| Published in |
BioData Mining, August 2021
|
| DOI | 10.1186/s13040-021-00263-w |
| Pubmed ID | |
| Authors |
Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta, Svetha Venkatesh |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Master | 3 | 14% |
| Other | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Librarian | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 19% |
| Agricultural and Biological Sciences | 3 | 14% |
| Medicine and Dentistry | 2 | 10% |
| Social Sciences | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 48% |
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 06 August 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from BioData Mining
#232
of 313 outputs
Outputs of similar age
#250,497
of 432,318 outputs
Outputs of similar age from BioData Mining
#9
of 11 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 18th percentile – i.e., 18% 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 432,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.