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X Demographics
Mendeley readers
Attention Score in Context
Title |
Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies
|
---|---|
Published in |
Genome Biology, November 2019
|
DOI | 10.1186/s13059-019-1878-x |
Pubmed ID | |
Authors |
Jeroen van Rooij, Pooja R. Mandaviya, Annique Claringbould, Janine F. Felix, Jenny van Dongen, Rick Jansen, Lude Franke, Peter A. C. ’t Hoen, Bas Heijmans, Joyce B. J. van Meurs |
X Demographics
The data shown below were collected from the profiles of 44 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 | 7 | 16% |
United Kingdom | 6 | 14% |
Canada | 3 | 7% |
Australia | 2 | 5% |
Netherlands | 2 | 5% |
Colombia | 1 | 2% |
Germany | 1 | 2% |
Spain | 1 | 2% |
Unknown | 21 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 52% |
Scientists | 20 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 29% |
Researcher | 11 | 15% |
Student > Master | 7 | 10% |
Student > Bachelor | 5 | 7% |
Student > Postgraduate | 4 | 6% |
Other | 11 | 15% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 29 | 40% |
Agricultural and Biological Sciences | 11 | 15% |
Medicine and Dentistry | 5 | 7% |
Neuroscience | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Other | 4 | 6% |
Unknown | 20 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 18 May 2020.
All research outputs
#1,500,693
of 25,519,924 outputs
Outputs from Genome Biology
#1,190
of 4,486 outputs
Outputs of similar age
#31,894
of 375,505 outputs
Outputs of similar age from Genome Biology
#49
of 96 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 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 73% 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 375,505 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 96 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 50% of its contemporaries.