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A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease

Overview of attention for article published in BMC Medical Genomics, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 1,211)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

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75 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
3 CiteULike
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Title
A systematic comparison and evaluation of high density exon arrays and RNA-seq technology used to unravel the peripheral blood transcriptome of sickle cell disease
Published in
BMC Medical Genomics, June 2012
DOI 10.1186/1755-8794-5-28
Pubmed ID
Authors

Nalini Raghavachari, Jennifer Barb, Yanqin Yang, Poching Liu, Kimberly Woodhouse, Daniel Levy, Christopher J O‘Donnell, Peter J Munson, Gregory J Kato

Abstract

Transcriptomic studies in clinical research are essential tools for deciphering the functional elements of the genome and unraveling underlying disease mechanisms. Various technologies have been developed to deduce and quantify the transcriptome including hybridization and sequencing-based approaches. Recently, high density exon microarrays have been successfully employed for detecting differentially expressed genes and alternative splicing events for biomarker discovery and disease diagnostics. The field of transcriptomics is currently being revolutionized by high throughput DNA sequencing methodologies to map, characterize, and quantify the transcriptome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 3 2%
Denmark 2 1%
Spain 2 1%
Austria 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Ukraine 1 <1%
Australia 1 <1%
Other 4 3%
Unknown 138 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 31%
Student > Ph. D. Student 39 25%
Student > Master 14 9%
Other 10 6%
Student > Bachelor 9 6%
Other 21 13%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 46%
Biochemistry, Genetics and Molecular Biology 39 25%
Medicine and Dentistry 17 11%
Computer Science 3 2%
Mathematics 2 1%
Other 9 6%
Unknown 15 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 05 December 2012.
All research outputs
#1,500,039
of 22,669,724 outputs
Outputs from BMC Medical Genomics
#40
of 1,211 outputs
Outputs of similar age
#9,402
of 164,182 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 17 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 164,182 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 94% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.