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Endocrine Regulation in the Ovary by MicroRNA during the Estrous Cycle

Overview of attention for article published in Frontiers in endocrinology, January 2018
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Title
Endocrine Regulation in the Ovary by MicroRNA during the Estrous Cycle
Published in
Frontiers in endocrinology, January 2018
DOI 10.3389/fendo.2017.00378
Pubmed ID
Authors

Derek Toms, Bo Pan, Julang Li

Abstract

Hormonal control of the estrous cycle that occurs in therian mammals is essential for the production of a functional egg. Supporting somatic cell types found within the ovary, such as granulosa and theca cells, respond to endocrine signals to support oocyte maturation and ovulation. Following the release of the egg, now available for fertilization, coordinated hormonal signaling between the mother and putative embryo are required for the establishment of pregnancy. If no conception occurs, both the ovary and uterus are "reset" in preparation for another cycle. The complex molecular changes that occur within cells in response to hormone signaling include a network of non-coding microRNAs (miRNAs) that posttranscriptionally regulate gene expression. They are thus able to fine-tune cellular responses to hormones and confer robustness in gene regulation. In this review, we outline the important roles established for miRNAs in regulating female reproductive hormone signaling during estrus, with a particular focus on signaling pathways in the ovary. Understanding this miRNA network can provide important insights to improving assisted reproductive technologies and may be useful in the diagnosis of female reproductive disorders.

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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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 7 17%
Researcher 6 15%
Professor > Associate Professor 3 7%
Professor 2 5%
Other 6 15%
Unknown 9 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 29%
Agricultural and Biological Sciences 9 22%
Medicine and Dentistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 5%
Unknown 12 29%
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 23 January 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Frontiers in endocrinology
#8,340
of 13,021 outputs
Outputs of similar age
#390,646
of 450,347 outputs
Outputs of similar age from Frontiers in endocrinology
#71
of 115 outputs
Altmetric has tracked 25,382,440 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 13,021 research outputs from this source. They receive a mean Attention Score of 4.9. 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 450,347 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 115 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.