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Characterization and comparative profiling of ovarian microRNAs during ovine anestrus and the breeding season

Overview of attention for article published in BMC Genomics, October 2014
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Title
Characterization and comparative profiling of ovarian microRNAs during ovine anestrus and the breeding season
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-899
Pubmed ID
Authors

Ran Di, Jianning He, Shuhui Song, Dongmei Tian, Qiuyue Liu, Xiaojun Liang, Qing Ma, Min Sun, Jiandong Wang, Wenming Zhao, Guiling Cao, Jinxin Wang, Zhimin Yang, Ying Ge, Mingxing Chu

Abstract

Seasonal estrus is a critical limiting factor of animal fecundity, and it involves changes in both ovarian biology and hormone secretion in different seasons. Previous studies indicate that two classes of small RNAs (miRNAs and piRNAs) play important regulatory roles in ovarian biology. To understand the roles of small RNA-mediated post-transcriptional regulation in ovine seasonal estrus, the variation in expression patterns of ovarian small RNAs during anestrus and the breeding season were analyzed using Solexa sequencing technology. In addition, reproductive hormone levels were determined during ovine anestrus and the breeding season.

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X Demographics

The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Finland 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Ph. D. Student 5 17%
Student > Master 4 14%
Student > Doctoral Student 2 7%
Other 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 41%
Biochemistry, Genetics and Molecular Biology 4 14%
Veterinary Science and Veterinary Medicine 2 7%
Unspecified 1 3%
Computer Science 1 3%
Other 2 7%
Unknown 7 24%
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 18 October 2014.
All research outputs
#18,380,628
of 22,766,595 outputs
Outputs from BMC Genomics
#8,169
of 10,639 outputs
Outputs of similar age
#182,627
of 255,778 outputs
Outputs of similar age from BMC Genomics
#155
of 208 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 255,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.