| Title |
GCAC: galaxy workflow system for predictive model building for virtual screening
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-018-2492-8 |
| Pubmed ID | |
| Authors |
Deepak R. Bharti, Anmol J. Hemrom, Andrew M. Lynn |
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 % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Lecturer | 2 | 8% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 2 | 8% |
| Mathematics | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 48% |
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 25 February 2019.
All research outputs
#15,593,916
of 25,163,238 outputs
Outputs from BMC Bioinformatics
#4,721
of 7,657 outputs
Outputs of similar age
#244,163
of 450,100 outputs
Outputs of similar age from BMC Bioinformatics
#110
of 196 outputs
Altmetric has tracked 25,163,238 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 7,657 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 35th percentile – i.e., 35% 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 450,100 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.