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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing sequence-based antigenic distance calculation into immunological shape space model
|
|---|---|
| Published in |
BMC Bioinformatics, June 2020
|
| DOI | 10.1186/s12859-020-03594-3 |
| Pubmed ID | |
| Authors |
Christopher S. Anderson, Mark Y. Sangster, Hongmei Yang, Thomas J. Mariani, Sidhartha Chaudhury, David J. Topham |
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 % |
|---|---|---|
| India | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Other | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 3 | 14% |
| Computer Science | 3 | 14% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
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 28 June 2022.
All research outputs
#15,097,172
of 23,972,269 outputs
Outputs from BMC Bioinformatics
#4,847
of 7,490 outputs
Outputs of similar age
#226,047
of 402,141 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 129 outputs
Altmetric has tracked 23,972,269 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,490 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 31st percentile – i.e., 31% 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 402,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.