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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-03568-5 |
| Pubmed ID | |
| Authors |
Mohammad Asif Emon, Daniel Domingo-Fernández, Charles Tapley Hoyt, Martin Hofmann-Apitius |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| India | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Researcher | 6 | 16% |
| Student > Ph. D. Student | 6 | 16% |
| Professor | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 1 | 3% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 24% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 3 | 8% |
| Mathematics | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 March 2023.
All research outputs
#5,560,277
of 25,773,273 outputs
Outputs from BMC Bioinformatics
#1,957
of 7,743 outputs
Outputs of similar age
#131,675
of 434,069 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 132 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,743 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 434,069 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 132 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 66% of its contemporaries.