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Leveraging Genomic Annotations and Pleiotropic Enrichment for Improved Replication Rates in Schizophrenia GWAS

Overview of attention for article published in PLoS Genetics, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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8 X users

Citations

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36 Dimensions

Readers on

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75 Mendeley
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Title
Leveraging Genomic Annotations and Pleiotropic Enrichment for Improved Replication Rates in Schizophrenia GWAS
Published in
PLoS Genetics, January 2016
DOI 10.1371/journal.pgen.1005803
Pubmed ID
Authors

Yunpeng Wang, Wesley K. Thompson, Andrew J. Schork, Dominic Holland, Chi-Hua Chen, Francesco Bettella, Rahul S. Desikan, Wen Li, Aree Witoelar, Verena Zuber, Anna Devor, Markus M. Nöthen, Marcella Rietschel, Qiang Chen, Thomas Werge, Sven Cichon, Daniel R. Weinberger, Srdjan Djurovic, Michael O’Donovan, Peter M. Visscher, Ole A. Andreassen, Anders M. Dale

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Sweden 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 16 21%
Professor 7 9%
Student > Master 7 9%
Student > Postgraduate 4 5%
Other 7 9%
Unknown 17 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 15%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 10 13%
Neuroscience 7 9%
Computer Science 4 5%
Other 12 16%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 May 2016.
All research outputs
#7,123,410
of 25,837,817 outputs
Outputs from PLoS Genetics
#4,518
of 9,017 outputs
Outputs of similar age
#104,211
of 410,404 outputs
Outputs of similar age from PLoS Genetics
#114
of 194 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 410,404 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 74% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.