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X Demographics
Mendeley readers
Attention Score in Context
Title |
An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies
|
---|---|
Published in |
BMC Bioinformatics, November 2019
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DOI | 10.1186/s12859-019-3162-1 |
Pubmed ID | |
Authors |
Milagros Marín, Francisco J. Esteban, Hilario Ramírez-Rodrigo, Eduardo Ros, María José Sáez-Lara |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Spain | 2 | 22% |
United Kingdom | 1 | 11% |
India | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 14% |
Student > Master | 7 | 14% |
Student > Doctoral Student | 6 | 12% |
Unspecified | 5 | 10% |
Student > Ph. D. Student | 4 | 8% |
Other | 9 | 18% |
Unknown | 13 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 14% |
Medicine and Dentistry | 6 | 12% |
Neuroscience | 6 | 12% |
Nursing and Health Professions | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
Other | 12 | 24% |
Unknown | 14 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 June 2021.
All research outputs
#5,863,359
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,118
of 7,400 outputs
Outputs of similar age
#104,543
of 361,603 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 213 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 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 71% 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 361,603 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 213 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 67% of its contemporaries.