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Identification of Biomarkers for Predicting Ovarian Reserve of Primordial Follicle via Transcriptomic Analysis

Overview of attention for article published in Frontiers in Genetics, May 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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10 Mendeley
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Title
Identification of Biomarkers for Predicting Ovarian Reserve of Primordial Follicle via Transcriptomic Analysis
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.879974
Pubmed ID
Authors

Li Liu, Biting Liu, Ke Li, Chunyan Wang, Yan Xie, Ning Luo, Lian Wang, Yaoqi Sun, Wei Huang, Zhongping Cheng, Shupeng Liu

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Unspecified 1 10%
Student > Master 1 10%
Unknown 3 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Unspecified 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Unknown 5 50%
Attention Score in Context

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 14 June 2022.
All research outputs
#14,728,447
of 22,668,244 outputs
Outputs from Frontiers in Genetics
#4,428
of 11,727 outputs
Outputs of similar age
#224,770
of 436,804 outputs
Outputs of similar age from Frontiers in Genetics
#237
of 899 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,727 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 436,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 899 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.