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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature
|
---|---|
Published in |
Frontiers in Genetics, November 2019
|
DOI | 10.3389/fgene.2019.01191 |
Pubmed ID | |
Authors |
Tianyi Zhao, Liang Cheng, Tianyi Zang, Yang Hu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 23% |
Researcher | 7 | 18% |
Student > Master | 5 | 13% |
Professor | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 5 | 13% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 26% |
Computer Science | 6 | 15% |
Agricultural and Biological Sciences | 4 | 10% |
Immunology and Microbiology | 2 | 5% |
Engineering | 2 | 5% |
Other | 6 | 15% |
Unknown | 9 | 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 24 December 2019.
All research outputs
#20,567,353
of 26,017,215 outputs
Outputs from Frontiers in Genetics
#6,966
of 13,785 outputs
Outputs of similar age
#348,642
of 483,410 outputs
Outputs of similar age from Frontiers in Genetics
#206
of 341 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,785 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 483,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.