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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel drug-target interactions via link prediction and network embedding
|
|---|---|
| Published in |
BMC Bioinformatics, April 2022
|
| DOI | 10.1186/s12859-022-04650-w |
| Pubmed ID | |
| Authors |
E. Amiri Souri, R. Laddach, S. N. Karagiannis, L. G. Papageorgiou, S. Tsoka |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 14% |
| Sweden | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 5 | 14% |
| Other | 3 | 8% |
| Professor > Associate Professor | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Chemistry | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 June 2022.
All research outputs
#13,720,450
of 23,972,269 outputs
Outputs from BMC Bioinformatics
#3,875
of 7,490 outputs
Outputs of similar age
#178,813
of 430,825 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 118 outputs
Altmetric has tracked 23,972,269 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 430,825 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 57% of its contemporaries.
We're also able to compare this research output to 118 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 50% of its contemporaries.