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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Investigating the ability of deep learning-based structure prediction to extrapolate and/or enrich the set of antibody CDR canonical forms
|
|---|---|
| Published in |
Frontiers in immunology, February 2024
|
| DOI | 10.3389/fimmu.2024.1352703 |
| Pubmed ID | |
| Authors |
Alexander Greenshields-Watson, Brennan Abanades, Charlotte M Deane |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 13% |
| Norway | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
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 % |
|---|---|---|
| Researcher | 3 | 23% |
| Student > Ph. D. Student | 2 | 15% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Unspecified | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Social Sciences | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 February 2024.
All research outputs
#7,301,616
of 25,887,951 outputs
Outputs from Frontiers in immunology
#8,175
of 32,529 outputs
Outputs of similar age
#95,118
of 337,738 outputs
Outputs of similar age from Frontiers in immunology
#160
of 1,197 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 32,529 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 337,738 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 71% of its contemporaries.
We're also able to compare this research output to 1,197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.