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X Demographics
Mendeley readers
Attention Score in Context
Title |
Applying artificial intelligence to accelerate and de-risk antibody discovery
|
---|---|
Published in |
Frontiers in Drug Discovery, March 2024
|
DOI | 10.3389/fddsv.2024.1339697 |
Authors |
Astrid Musnier, Christophe Dumet, Saheli Mitra, Adrien Verdier, Raouf Keskes, Augustin Chassine, Yann Jullian, Mélanie Cortes, Yannick Corde, Zakaria Omahdi, Vincent Puard, Thomas Bourquard, Anne Poupon |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Researcher | 1 | 20% |
Student > Ph. D. Student | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Biochemistry, Genetics and Molecular Biology | 1 | 20% |
Computer Science | 1 | 20% |
Engineering | 1 | 20% |
Unknown | 1 | 20% |
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 05 March 2024.
All research outputs
#20,692,843
of 25,416,581 outputs
Outputs from Frontiers in Drug Discovery
#74
of 96 outputs
Outputs of similar age
#101,403
of 149,271 outputs
Outputs of similar age from Frontiers in Drug Discovery
#6
of 9 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 96 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% 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 149,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.