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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of drug-target interactions from multi-molecular network based on LINE network representation method
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2020
|
| DOI | 10.1186/s12967-020-02490-x |
| Pubmed ID | |
| Authors |
Bo-Ya Ji, Zhu-Hong You, Han-Jing Jiang, Zhen-Hao Guo, Kai Zheng |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Unspecified | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 November 2020.
All research outputs
#15,095,535
of 23,237,082 outputs
Outputs from Journal of Translational Medicine
#2,021
of 4,091 outputs
Outputs of similar age
#236,265
of 400,208 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 114 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 44th percentile – i.e., 44% 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 400,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.