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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, March 2024
|
| DOI | 10.3389/fmolb.2024.1352508 |
| Pubmed ID | |
| Authors |
Dawid Chomicz, Jarosław Kończak, Sonia Wróbel, Tadeusz Satława, Paweł Dudzic, Bartosz Janusz, Mateusz Tarkowski, Piotr Deszyński, Tomasz Gawłowski, Anna Kostyn, Marek Orłowski, Tomasz Klaus, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk |
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 % |
|---|---|---|
| Ecuador | 1 | 33% |
| Switzerland | 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 33% |
| Researcher | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Computer Science | 1 | 17% |
| Immunology and Microbiology | 1 | 17% |
| Chemistry | 1 | 17% |
| Engineering | 1 | 17% |
| Other | 0 | 0% |
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 12 April 2024.
All research outputs
#15,966,157
of 25,701,027 outputs
Outputs from Frontiers in Molecular Biosciences
#1,312
of 4,763 outputs
Outputs of similar age
#88,305
of 209,256 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#9
of 86 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,763 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 70% 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 209,256 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 56% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.