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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive ensemble in QSAR prediction for drug discovery
|
|---|---|
| Published in |
BMC Bioinformatics, October 2019
|
| DOI | 10.1186/s12859-019-3135-4 |
| Pubmed ID | |
| Authors |
Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Israel | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 295 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 46 | 16% |
| Student > Ph. D. Student | 38 | 13% |
| Student > Master | 28 | 9% |
| Researcher | 17 | 6% |
| Student > Doctoral Student | 9 | 3% |
| Other | 28 | 9% |
| Unknown | 129 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 47 | 16% |
| Biochemistry, Genetics and Molecular Biology | 32 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 28 | 9% |
| Computer Science | 8 | 3% |
| Agricultural and Biological Sciences | 7 | 2% |
| Other | 35 | 12% |
| Unknown | 138 | 47% |
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 28 October 2019.
All research outputs
#14,461,222
of 23,170,347 outputs
Outputs from BMC Bioinformatics
#4,783
of 7,342 outputs
Outputs of similar age
#199,889
of 361,928 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 145 outputs
Altmetric has tracked 23,170,347 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 7,342 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 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 361,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.