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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network-Based Methods for Prediction of Drug-Target Interactions
|
|---|---|
| Published in |
Frontiers in Pharmacology, October 2018
|
| DOI | 10.3389/fphar.2018.01134 |
| Pubmed ID | |
| Authors |
Zengrui Wu, Weihua Li, Guixia Liu, Yun Tang |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 21% |
| Researcher | 23 | 12% |
| Student > Master | 23 | 12% |
| Student > Doctoral Student | 14 | 7% |
| Other | 9 | 5% |
| Other | 27 | 14% |
| Unknown | 52 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 20% |
| Computer Science | 36 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 8% |
| Agricultural and Biological Sciences | 14 | 7% |
| Chemistry | 7 | 4% |
| Other | 23 | 12% |
| Unknown | 56 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 November 2022.
All research outputs
#3,660,444
of 26,017,215 outputs
Outputs from Frontiers in Pharmacology
#1,700
of 20,002 outputs
Outputs of similar age
#70,539
of 359,978 outputs
Outputs of similar age from Frontiers in Pharmacology
#49
of 407 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,002 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 91% 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 359,978 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.