You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides
|
|---|---|
| Published in |
BMC Bioinformatics, May 2023
|
| DOI | 10.1186/s12859-023-05327-8 |
| Pubmed ID | |
| Authors |
Sébastien Ouellet, Larissa Ferguson, Angus Z. Lau, Tony K. Y. Lim |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 15% |
| Professor > Associate Professor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Researcher | 1 | 8% |
| Unknown | 8 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 8 | 62% |
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 17 May 2023.
All research outputs
#16,313,763
of 24,804,602 outputs
Outputs from BMC Bioinformatics
#5,251
of 7,590 outputs
Outputs of similar age
#202,682
of 375,077 outputs
Outputs of similar age from BMC Bioinformatics
#87
of 117 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,590 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 26th percentile – i.e., 26% 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 375,077 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 117 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.