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MicroRNA transcriptome profiles during swine skeletal muscle development

Overview of attention for article published in BMC Genomics, February 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
85 Mendeley
connotea
1 Connotea
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Title
MicroRNA transcriptome profiles during swine skeletal muscle development
Published in
BMC Genomics, February 2009
DOI 10.1186/1471-2164-10-77
Pubmed ID
Authors

Tara G McDaneld, Timothy PL Smith, Matthew E Doumit, Jeremy R Miles, Luiz L Coutinho, Tad S Sonstegard, Lakshmi K Matukumalli, Dan J Nonneman, Ralph T Wiedmann

Abstract

MicroRNA (miR) are a class of small RNAs that regulate gene expression by inhibiting translation of protein encoding transcripts. To evaluate the role of miR in skeletal muscle of swine, global microRNA abundance was measured at specific developmental stages including proliferating satellite cells, three stages of fetal growth, day-old neonate, and the adult.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
China 2 2%
Belgium 1 1%
Brazil 1 1%
Japan 1 1%
Germany 1 1%
Unknown 75 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 17 20%
Professor > Associate Professor 9 11%
Student > Bachelor 9 11%
Student > Master 8 9%
Other 18 21%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 54%
Biochemistry, Genetics and Molecular Biology 13 15%
Medicine and Dentistry 11 13%
Veterinary Science and Veterinary Medicine 3 4%
Psychology 1 1%
Other 6 7%
Unknown 5 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2012.
All research outputs
#3,122,322
of 12,373,620 outputs
Outputs from BMC Genomics
#1,850
of 7,296 outputs
Outputs of similar age
#25,501
of 103,123 outputs
Outputs of similar age from BMC Genomics
#45
of 217 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 73% 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 103,123 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.