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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Drug repositioning of herbal compounds via a machine-learning approach
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2811-8 |
| Pubmed ID | |
| Authors |
Eunyoung Kim, A-sol Choi, Hojung Nam |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 13% |
| Researcher | 13 | 12% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 13 | 12% |
| Student > Postgraduate | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 34 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 17% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 11% |
| Chemistry | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 20 | 18% |
| Unknown | 35 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 June 2019.
All research outputs
#20,332,045
of 24,991,957 outputs
Outputs from BMC Bioinformatics
#6,627
of 7,629 outputs
Outputs of similar age
#269,511
of 356,211 outputs
Outputs of similar age from BMC Bioinformatics
#168
of 204 outputs
Altmetric has tracked 24,991,957 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,629 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 5th percentile – i.e., 5% 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 356,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.