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X Demographics
Mendeley readers
Attention Score in Context
Title |
PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics
|
---|---|
Published in |
BMC Bioinformatics, June 2021
|
DOI | 10.1186/s12859-021-04042-6 |
Pubmed ID | |
Authors |
Rachel Nadeau, Anastasiia Byvsheva, Mathieu Lavallée-Adam |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 15 | 45% |
India | 2 | 6% |
United Kingdom | 2 | 6% |
United States | 2 | 6% |
Sweden | 1 | 3% |
Australia | 1 | 3% |
Unknown | 10 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 19 | 58% |
Scientists | 13 | 39% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 15% |
Student > Ph. D. Student | 5 | 15% |
Student > Bachelor | 4 | 12% |
Student > Master | 4 | 12% |
Unspecified | 3 | 9% |
Other | 3 | 9% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 29% |
Unspecified | 3 | 9% |
Computer Science | 3 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Agricultural and Biological Sciences | 2 | 6% |
Other | 3 | 9% |
Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 July 2021.
All research outputs
#1,910,674
of 25,403,829 outputs
Outputs from BMC Bioinformatics
#374
of 7,701 outputs
Outputs of similar age
#48,474
of 459,582 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 174 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,701 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 459,582 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.