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X Demographics
Mendeley readers
Attention Score in Context
Title |
PPalign: optimal alignment of Potts models representing proteins with direct coupling information
|
---|---|
Published in |
BMC Bioinformatics, June 2021
|
DOI | 10.1186/s12859-021-04222-4 |
Pubmed ID | |
Authors |
Hugo Talibart, François Coste |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 14% |
India | 1 | 14% |
Sweden | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 57% |
Members of the public | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
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 % |
---|---|---|
Researcher | 3 | 50% |
Student > Ph. D. Student | 2 | 33% |
Professor > Associate Professor | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 33% |
Computer Science | 1 | 17% |
Immunology and Microbiology | 1 | 17% |
Physics and Astronomy | 1 | 17% |
Chemistry | 1 | 17% |
Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 June 2021.
All research outputs
#7,032,924
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#2,709
of 7,382 outputs
Outputs of similar age
#150,363
of 447,214 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 171 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,382 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 63% 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 447,214 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 66% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.