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Transcriptome Analysis Reveals Key miRNA–mRNA Pathways in Ovarian Tissues of Yunshang Black Goats With Different Kidding Numbers

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Transcriptome Analysis Reveals Key miRNA–mRNA Pathways in Ovarian Tissues of Yunshang Black Goats With Different Kidding Numbers
Published in
Frontiers in endocrinology, May 2022
DOI 10.3389/fendo.2022.883663
Pubmed ID
Authors

Yufang Liu, Zuyang Zhou, Siwu Guo, Kunyu Li, Peng Wang, Yekai Fan, Xiaoyun He, Yanting Jiang, Rong Lan, Shuangzhao Chen, Shenghong Dai, Qionghua Hong, Mingxing Chu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Researcher 1 20%
Other 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Materials Science 1 20%
Engineering 1 20%
Unknown 2 40%
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 07 June 2022.
All research outputs
#16,734,944
of 25,392,582 outputs
Outputs from Frontiers in endocrinology
#4,382
of 13,030 outputs
Outputs of similar age
#247,742
of 444,596 outputs
Outputs of similar age from Frontiers in endocrinology
#228
of 805 outputs
Altmetric has tracked 25,392,582 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 13,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 60% 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 444,596 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 805 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 65% of its contemporaries.