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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DPDDI: a deep predictor for drug-drug interactions
|
|---|---|
| Published in |
BMC Bioinformatics, September 2020
|
| DOI | 10.1186/s12859-020-03724-x |
| Pubmed ID | |
| Authors |
Yue-Hua Feng, Shao-Wu Zhang, Jian-Yu Shi |
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 % |
|---|---|---|
| India | 1 | 20% |
| Sweden | 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 6 | 8% |
| Researcher | 5 | 7% |
| Professor | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 38 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 16% |
| Chemistry | 4 | 5% |
| Agricultural and Biological Sciences | 4 | 5% |
| Engineering | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 43 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 20 February 2024.
All research outputs
#1,931,688
of 25,381,151 outputs
Outputs from BMC Bioinformatics
#400
of 7,684 outputs
Outputs of similar age
#49,559
of 417,245 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 152 outputs
Altmetric has tracked 25,381,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,684 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 done particularly well, scoring higher than 94% 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 417,245 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 88% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.