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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3238-y |
| Pubmed ID | |
| Authors |
Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Researcher | 4 | 15% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 9 | 35% |
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 03 January 2020.
All research outputs
#14,569,391
of 23,335,153 outputs
Outputs from BMC Bioinformatics
#4,834
of 7,387 outputs
Outputs of similar age
#246,545
of 458,812 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 219 outputs
Altmetric has tracked 23,335,153 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 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 30th percentile – i.e., 30% 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 458,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 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.