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X Demographics
Mendeley readers
Attention Score in Context
Title |
PICALO: principal interaction component analysis for the identification of discrete technical, cell-type, and environmental factors that mediate eQTLs
|
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Published in |
Genome Biology, January 2024
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DOI | 10.1186/s13059-023-03151-0 |
Pubmed ID | |
Authors |
Martijn Vochteloo, Patrick Deelen, Britt Vink, Ellen A. Tsai, Heiko Runz, Sergio Andreu-Sánchez, Jingyuan Fu, Alexandra Zhernakova, Harm-Jan Westra, Lude Franke |
X Demographics
The data shown below were collected from the profiles of 32 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 | 8 | 25% |
Netherlands | 6 | 19% |
Spain | 1 | 3% |
Italy | 1 | 3% |
India | 1 | 3% |
Canada | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 13 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 20 | 63% |
Members of the public | 11 | 34% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
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 | 2 | 33% |
Student > Ph. D. Student | 1 | 17% |
Other | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Computer Science | 1 | 17% |
Social Sciences | 1 | 17% |
Medicine and Dentistry | 1 | 17% |
Design | 1 | 17% |
Other | 0 | 0% |
Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 14 March 2024.
All research outputs
#2,170,813
of 25,489,496 outputs
Outputs from Genome Biology
#1,809
of 4,480 outputs
Outputs of similar age
#29,156
of 327,764 outputs
Outputs of similar age from Genome Biology
#19
of 67 outputs
Altmetric has tracked 25,489,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 59% 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 327,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 67 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 73% of its contemporaries.