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psygenet2r: a R/Bioconductor package for the analysis of psychiatric disease genes

Overview of attention for article published in Bioinformatics, August 2017
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
psygenet2r: a R/Bioconductor package for the analysis of psychiatric disease genes
Published in
Bioinformatics, August 2017
DOI 10.1093/bioinformatics/btx506
Pubmed ID
Authors

Alba Gutiérrez-Sacristán, Carles Hernández-Ferrer, Juan R González, Laura I Furlong

Abstract

Psychiatric disorders have a great impact on morbidity and mortality. Genotype-phenotype resources for psychiatric diseases are key to enable the translation of research findings to a better care of patients. PsyGeNET is a knowledge resource on psychiatric diseases and their genes, developed by text mining and curated by domain experts. We present psygenet2r, an R package that contains a variety of functions for leveraging PsyGeNET database and facilitating its analysis and interpretation. The package offers different types of queries to the database along with variety of analysis and visualization tools, including the study of the anatomical structures in which the genes are expressed and gaining insight of gene's molecular function. Psygenet2r is especially suited for network medicine analysis of psychiatric disorders. The package is implemented in R and is available under MIT license from Bioconductor ( http://bioconductor.org/packages/release/bioc/html/psygenet2r.html ). [email protected] , [email protected]. Supplementary data are available at Bioinformatics online.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Student > Master 4 17%
Librarian 2 8%
Student > Postgraduate 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 2 8%
Neuroscience 2 8%
Arts and Humanities 1 4%
Other 5 21%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 December 2017.
All research outputs
#8,172,330
of 24,777,509 outputs
Outputs from Bioinformatics
#6,613
of 12,224 outputs
Outputs of similar age
#122,226
of 323,695 outputs
Outputs of similar age from Bioinformatics
#115
of 233 outputs
Altmetric has tracked 24,777,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 12,224 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 45th percentile – i.e., 45% 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 323,695 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 62% of its contemporaries.
We're also able to compare this research output to 233 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 51% of its contemporaries.