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A Comparison of RNA-Seq and Exon Arrays for Whole Genome Transcription Profiling of the L5 Spinal Nerve Transection Model of Neuropathic Pain in the Rat

Overview of attention for article published in Molecular Pain, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
2 CiteULike
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Title
A Comparison of RNA-Seq and Exon Arrays for Whole Genome Transcription Profiling of the L5 Spinal Nerve Transection Model of Neuropathic Pain in the Rat
Published in
Molecular Pain, January 2014
DOI 10.1186/1744-8069-10-7
Pubmed ID
Authors

James R Perkins, Ana Antunes-Martins, Margarita Calvo, John Grist, Werner Rust, Ramona Schmid, Tobias Hildebrandt, Matthias Kohl, Christine Orengo, Stephen B McMahon, David LH Bennett

Abstract

The past decade has seen an abundance of transcriptional profiling studies of preclinical models of persistent pain, predominantly employing microarray technology. In this study we directly compare exon microarrays to RNA-seq and investigate the ability of both platforms to detect differentially expressed genes following nerve injury using the L5 spinal nerve transection model of neuropathic pain. We also investigate the effects of increasing RNA-seq sequencing depth. Finally we take advantage of the "agnostic" approach of RNA-seq to discover areas of expression outside of annotated exons that show marked changes in expression following nerve injury.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Chile 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 112 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 17 14%
Student > Bachelor 16 13%
Student > Master 12 10%
Student > Doctoral Student 6 5%
Other 23 19%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 35%
Neuroscience 15 13%
Medicine and Dentistry 15 13%
Biochemistry, Genetics and Molecular Biology 13 11%
Unspecified 3 3%
Other 6 5%
Unknown 25 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 November 2014.
All research outputs
#3,559,515
of 25,373,627 outputs
Outputs from Molecular Pain
#64
of 669 outputs
Outputs of similar age
#40,010
of 319,280 outputs
Outputs of similar age from Molecular Pain
#4
of 58 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 669 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 90% 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 319,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.