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X Demographics
Mendeley readers
Attention Score in Context
| Title |
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03631-1 |
| Pubmed ID | |
| Authors |
Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| India | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Master | 6 | 17% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Computer Science | 7 | 19% |
| Agricultural and Biological Sciences | 5 | 14% |
| Business, Management and Accounting | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 10 | 28% |
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 03 July 2020.
All research outputs
#14,488,906
of 23,220,133 outputs
Outputs from BMC Bioinformatics
#4,793
of 7,358 outputs
Outputs of similar age
#221,962
of 398,655 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 127 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,358 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 30th percentile – i.e., 30% 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 398,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.