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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Additional Neural Matrix Factorization model for computational drug repositioning
|
|---|---|
| Published in |
BMC Bioinformatics, August 2019
|
| DOI | 10.1186/s12859-019-2983-2 |
| Pubmed ID | |
| Authors |
Xinxing Yang, lbrahim Zamit, Yu Liu, Jieyue He |
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 % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 6 | 18% |
| Student > Master | 4 | 12% |
| Student > Doctoral Student | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Business, Management and Accounting | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 13 | 39% |
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 21 August 2019.
All research outputs
#14,391,392
of 23,153,849 outputs
Outputs from BMC Bioinformatics
#4,767
of 7,341 outputs
Outputs of similar age
#186,385
of 342,678 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 108 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 34th percentile – i.e., 34% 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 342,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.