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MicroRNAs in ovarian function and disorders

Overview of attention for article published in Journal of Ovarian Research, August 2015
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Mentioned by

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2 tweeters

Citations

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77 Dimensions

Readers on

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101 Mendeley
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Title
MicroRNAs in ovarian function and disorders
Published in
Journal of Ovarian Research, August 2015
DOI 10.1186/s13048-015-0162-2
Pubmed ID
Authors

Ying Li, Ying Fang, Ying Liu, Xiaokui Yang

Abstract

MicroRNAs (miRNAs) are endogenous, small, noncoding single-stranded RNA molecules approximately 22 nucleotides in length. miRNAs are involved in the post-transcriptional regulation of various important cellular physiological and pathological processes, including cell proliferation, differentiation, apoptosis, and hormone biosynthesis and secretion. Ovarian follicles are the key functional units of female reproduction, and the development of these follicles is a complex and precise process accompanied by oocyte maturation as well as surrounding granulosa cell proliferation and differentiation. Numerous miRNAs expressed in the ovary regulate ovarian follicle growth, atresia, ovulation and steroidogenesis and play an important role in ovarian disorders. This review considers recent advances in the identification of miRNAs involved in the regulation of ovarian function as well as the possible influence of miRNAs on ovarian-derived disorders, such as ovarian cancer, polycystic ovarian syndrome and premature ovarian failure. An improved understanding of the regulation of ovarian function by miRNAs may shed light on new strategies for ovarian biology and ovarian disorders.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Denmark 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Student > Master 14 14%
Researcher 14 14%
Student > Bachelor 9 9%
Other 7 7%
Other 17 17%
Unknown 15 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 31%
Biochemistry, Genetics and Molecular Biology 27 27%
Medicine and Dentistry 14 14%
Veterinary Science and Veterinary Medicine 3 3%
Chemistry 2 2%
Other 7 7%
Unknown 17 17%

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 02 August 2015.
All research outputs
#3,826,224
of 5,436,647 outputs
Outputs from Journal of Ovarian Research
#77
of 140 outputs
Outputs of similar age
#131,474
of 190,174 outputs
Outputs of similar age from Journal of Ovarian Research
#7
of 10 outputs
Altmetric has tracked 5,436,647 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 140 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 30th percentile – i.e., 30% 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 190,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.