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Comparative analysis of neural transcriptomes and functional implication of unannotated intronic expression

Overview of attention for article published in BMC Genomics, October 2011
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2 tweeters

Citations

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3 Dimensions

Readers on

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42 Mendeley
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2 CiteULike
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Title
Comparative analysis of neural transcriptomes and functional implication of unannotated intronic expression
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-494
Pubmed ID
Authors

Yazhou Sun, Yaqiong Wang, Yi Hu, Gong Chen, Hong Ma

Abstract

The transcriptome and its regulation bridge the genome and the phenome. Recent RNA-seq studies unveiled complex transcriptomes with previously unknown transcripts and functions. To investigate the characteristics of neural transcriptomes and possible functions of previously unknown transcripts, we analyzed and compared nine recent RNA-seq datasets corresponding to tissues/organs ranging from stem cell, embryonic brain cortex to adult whole brain.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
China 2 5%
Japan 2 5%
Romania 1 2%
Netherlands 1 2%
Unknown 33 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 38%
Student > Ph. D. Student 10 24%
Professor > Associate Professor 3 7%
Student > Postgraduate 2 5%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 57%
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 3 7%
Mathematics 1 2%
Sports and Recreations 1 2%
Other 3 7%
Unknown 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 October 2011.
All research outputs
#7,762,677
of 12,373,620 outputs
Outputs from BMC Genomics
#4,641
of 7,296 outputs
Outputs of similar age
#58,658
of 96,710 outputs
Outputs of similar age from BMC Genomics
#16
of 29 outputs
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So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.