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Identification of Key Genes and Potential New Biomarkers for Ovarian Aging: A Study Based on RNA-Sequencing Data

Overview of attention for article published in Frontiers in Genetics, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Identification of Key Genes and Potential New Biomarkers for Ovarian Aging: A Study Based on RNA-Sequencing Data
Published in
Frontiers in Genetics, November 2020
DOI 10.3389/fgene.2020.590660
Pubmed ID
Authors

Lingwei Ma, Huan Lu, Runhua Chen, Meng Wu, Yan Jin, Jinjin Zhang, Shixuan Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 2 11%
Student > Doctoral Student 2 11%
Other 1 5%
Student > Bachelor 1 5%
Student > Ph. D. Student 1 5%
Other 3 16%
Unknown 9 47%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 16%
Medicine and Dentistry 2 11%
Physics and Astronomy 1 5%
Linguistics 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 31 December 2023.
All research outputs
#2,239,928
of 26,208,484 outputs
Outputs from Frontiers in Genetics
#492
of 13,875 outputs
Outputs of similar age
#52,131
of 417,290 outputs
Outputs of similar age from Frontiers in Genetics
#25
of 448 outputs
Altmetric has tracked 26,208,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,875 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 417,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.