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Staged miRNA re-regulation patterns during reprogramming

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

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7 tweeters
googleplus
1 Google+ user

Citations

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15 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Staged miRNA re-regulation patterns during reprogramming
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-12-r149
Pubmed ID
Authors

Christine M Henzler, Zhonghan Li, Jason Dang, Mary Arcila, Hongjun Zhou, Jingya Liu, Kung-Yen Chang, Danielle S Bassett, Tariq M Rana, Kenneth S Kosik

Abstract

MiRNAs often operate in feedback loops with transcription factors and represent a key mechanism for fine-tuning gene expression. In transcription factor-induced reprogramming, miRNAs play a critical role; however, detailed analyses of miRNA expression changes during reprogramming at the level of deep sequencing have not been previously reported.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Luxembourg 1 2%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 35%
Researcher 13 28%
Student > Bachelor 4 9%
Student > Postgraduate 3 7%
Librarian 2 4%
Other 6 13%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 61%
Biochemistry, Genetics and Molecular Biology 9 20%
Computer Science 2 4%
Medicine and Dentistry 2 4%
Psychology 1 2%
Other 2 4%
Unknown 2 4%

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 09 January 2014.
All research outputs
#5,791,148
of 21,358,488 outputs
Outputs from Genome Biology (Online Edition)
#2,862
of 3,997 outputs
Outputs of similar age
#74,169
of 302,913 outputs
Outputs of similar age from Genome Biology (Online Edition)
#109
of 141 outputs
Altmetric has tracked 21,358,488 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 3,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one is in the 28th percentile – i.e., 28% 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 302,913 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 75% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.