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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques
|
|---|---|
| Published in |
BMC Bioinformatics, November 2021
|
| DOI | 10.1186/s12859-021-04468-y |
| Pubmed ID | |
| Authors |
Hossein Khabbaz, Mohammad Hossein Karimi-Jafari, Ali Akbar Saboury, Bagher BabaAli |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Japan | 1 | 14% |
| India | 1 | 14% |
| Sweden | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Professor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 20 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Chemistry | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 6% |
| Physics and Astronomy | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 24 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 November 2021.
All research outputs
#14,671,229
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#4,199
of 7,630 outputs
Outputs of similar age
#191,727
of 431,996 outputs
Outputs of similar age from BMC Bioinformatics
#98
of 168 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,630 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 42nd percentile – i.e., 42% 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 431,996 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.