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Seq and CLIP through the miRNA world

Overview of attention for article published in Genome Biology, 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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
7 X users
googleplus
1 Google+ user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
2 CiteULike
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Title
Seq and CLIP through the miRNA world
Published in
Genome Biology, January 2014
DOI 10.1186/gb4151
Pubmed ID
Authors

Nitish Mittal, Mihaela Zavolan

Abstract

High-throughput sequencing of RNAs crosslinked to Argonaute proteins reveals not only a multitude of atypical miRNA binding sites but also of miRNA targets with atypical functions, and can be used to infer quantitative models of miRNA-target interaction strength.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 1%
Mexico 1 1%
Chile 1 1%
Denmark 1 1%
Luxembourg 1 1%
Unknown 84 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 32%
Student > Ph. D. Student 25 27%
Professor > Associate Professor 7 8%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 15 16%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 52%
Biochemistry, Genetics and Molecular Biology 23 25%
Medicine and Dentistry 4 4%
Neuroscience 3 3%
Immunology and Microbiology 3 3%
Other 2 2%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 21 January 2015.
All research outputs
#1,964,624
of 25,374,647 outputs
Outputs from Genome Biology
#1,649
of 4,467 outputs
Outputs of similar age
#22,155
of 321,552 outputs
Outputs of similar age from Genome Biology
#48
of 106 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 63% 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 321,552 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 93% of its contemporaries.
We're also able to compare this research output to 106 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 54% of its contemporaries.