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MicroRNA-9119 regulates cell viability of granulosa cells in polycystic ovarian syndrome via mediating Dicer expression

Overview of attention for article published in Molecular and Cellular Biochemistry, January 2020
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

mendeley
11 Mendeley
Title
MicroRNA-9119 regulates cell viability of granulosa cells in polycystic ovarian syndrome via mediating Dicer expression
Published in
Molecular and Cellular Biochemistry, January 2020
DOI 10.1007/s11010-019-03678-6
Pubmed ID
Authors

Yang Ding, Pei He, Zhiling Li

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Lecturer > Senior Lecturer 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Nursing and Health Professions 2 18%
Veterinary Science and Veterinary Medicine 1 9%
Agricultural and Biological Sciences 1 9%
Medicine and Dentistry 1 9%
Other 1 9%
Unknown 2 18%
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 03 January 2020.
All research outputs
#20,597,497
of 23,184,056 outputs
Outputs from Molecular and Cellular Biochemistry
#1,828
of 2,334 outputs
Outputs of similar age
#381,883
of 457,187 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#11
of 17 outputs
Altmetric has tracked 23,184,056 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 2,334 research outputs from this source. They receive a mean Attention Score of 3.9. 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 457,187 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 17 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.