| Title |
Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2514-6 |
| Pubmed ID | |
| Authors |
Kyle Boone, Kyle Camarda, Paulette Spencer, Candan Tamerler |
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 % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Computer Science | 8 | 13% |
| Agricultural and Biological Sciences | 6 | 10% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 14 | 23% |
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 07 December 2018.
All research outputs
#17,998,897
of 23,116,036 outputs
Outputs from BMC Bioinformatics
#5,984
of 7,330 outputs
Outputs of similar age
#304,789
of 437,056 outputs
Outputs of similar age from BMC Bioinformatics
#149
of 188 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,330 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 13th percentile – i.e., 13% 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 437,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.