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Small RNA sequencing reveals miR-642a-3p as a novel adipocyte-specific microRNA and miR-30 as a key regulator of human adipogenesis

Overview of attention for article published in Genome Biology, July 2011
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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209 Dimensions

Readers on

mendeley
173 Mendeley
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1 CiteULike
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Title
Small RNA sequencing reveals miR-642a-3p as a novel adipocyte-specific microRNA and miR-30 as a key regulator of human adipogenesis
Published in
Genome Biology, July 2011
DOI 10.1186/gb-2011-12-7-r64
Pubmed ID
Authors

Laure-Emmanuelle Zaragosi, Brigitte Wdziekonski, Kevin Le Brigand, Phi Villageois, Bernard Mari, Rainer Waldmann, Christian Dani, Pascal Barbry

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
United Kingdom 2 1%
United States 2 1%
Netherlands 1 <1%
Spain 1 <1%
Italy 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 27%
Student > Ph. D. Student 43 25%
Student > Master 23 13%
Student > Doctoral Student 8 5%
Student > Bachelor 7 4%
Other 26 15%
Unknown 19 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 38%
Biochemistry, Genetics and Molecular Biology 45 26%
Medicine and Dentistry 17 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Social Sciences 3 2%
Other 13 8%
Unknown 27 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 July 2011.
All research outputs
#15,563,090
of 25,837,817 outputs
Outputs from Genome Biology
#3,976
of 4,513 outputs
Outputs of similar age
#89,187
of 134,345 outputs
Outputs of similar age from Genome Biology
#37
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 11th percentile – i.e., 11% 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 134,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.