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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
|
|---|---|
| Published in |
Journal of Cheminformatics, June 2020
|
| DOI | 10.1186/s13321-020-00447-2 |
| Pubmed ID | |
| Authors |
Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 11% |
| United States | 1 | 11% |
| Israel | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Researcher | 14 | 15% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 39 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Chemistry | 7 | 7% |
| Engineering | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 42 | 44% |
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 05 July 2020.
All research outputs
#6,901,224
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#519
of 981 outputs
Outputs of similar age
#144,795
of 435,467 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 47th percentile – i.e., 47% 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 435,467 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 66% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.