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Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureusbacteria reveals pathogen directed microRNA expression profiles

Overview of attention for article published in BMC Genomics, March 2014
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1 X user

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Title
Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureusbacteria reveals pathogen directed microRNA expression profiles
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-181
Pubmed ID
Authors

Weiwu Jin, Eveline M Ibeagha-Awemu, Guanxiang Liang, Frédéric Beaudoin, Xin Zhao, Le Luo Guan

Abstract

MicroRNAs (miRNAs) can post-transcriptionally regulate gene expression and have been shown to be critical regulators to the fine-tuning of epithelial immune responses. However, the role of miRNAs in bovine responses to E. coli and S. aureus, two mastitis causing pathogens, is not well understood.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Brazil 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 25%
Student > Ph. D. Student 21 17%
Student > Bachelor 10 8%
Student > Master 10 8%
Student > Postgraduate 8 6%
Other 17 14%
Unknown 27 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 38%
Biochemistry, Genetics and Molecular Biology 15 12%
Veterinary Science and Veterinary Medicine 11 9%
Immunology and Microbiology 5 4%
Computer Science 4 3%
Other 7 6%
Unknown 35 28%
Attention Score in Context

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 07 March 2014.
All research outputs
#20,223,099
of 22,747,498 outputs
Outputs from BMC Genomics
#9,262
of 10,634 outputs
Outputs of similar age
#189,690
of 221,149 outputs
Outputs of similar age from BMC Genomics
#126
of 149 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 221,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.