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Identification and characterization of microRNAs in white and brown alpaca skin

Overview of attention for article published in BMC Genomics, January 2012
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Mentioned by

twitter
4 tweeters

Citations

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28 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Identification and characterization of microRNAs in white and brown alpaca skin
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-555
Pubmed ID
Authors

Xue Tian, Junbing Jiang, Ruiwen Fan, Haidong Wang, Xiaolin Meng, Xiaoyan He, Junping He, Hongquan Li, Jianjun Geng, Xiuju Yu, Yunfei Song, Danli Zhang, Jianbo Yao, George W Smith, Changsheng Dong

Abstract

AB BACKGROUND: MicroRNAs (miRNAs) are small, non-coding 21-25 nt RNA molecules that play an important role in regulating gene expression. Little is known about the expression profiles and functions of miRNAs in skin and their role in pigmentation. Alpacas have more than 22 natural coat colors, more than any other fiber producing species. To better understand the role of miRNAs in control of coat color we performed a comprehensive analysis of miRNA expression profiles in skin of white versus brown alpacas.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Brazil 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Researcher 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Student > Bachelor 2 8%
Other 9 36%
Unknown 4 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 52%
Medicine and Dentistry 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 1 4%
Unknown 5 20%

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 16 October 2012.
All research outputs
#8,155,642
of 14,479,641 outputs
Outputs from BMC Genomics
#4,078
of 8,439 outputs
Outputs of similar age
#64,518
of 133,576 outputs
Outputs of similar age from BMC Genomics
#1
of 4 outputs
Altmetric has tracked 14,479,641 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,439 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 48th percentile – i.e., 48% 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 133,576 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 50% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them