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LncRNA H19 over-expression inhibited Th17 cell differentiation to relieve endometriosis through miR-342-3p/IER3 pathway

Overview of attention for article published in Cell & Bioscience, October 2019
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Mentioned by

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1 X user

Citations

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38 Dimensions

Readers on

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16 Mendeley
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Title
LncRNA H19 over-expression inhibited Th17 cell differentiation to relieve endometriosis through miR-342-3p/IER3 pathway
Published in
Cell & Bioscience, October 2019
DOI 10.1186/s13578-019-0346-3
Pubmed ID
Authors

Zheying Liu, Liya Liu, Yun Zhong, Mingbo Cai, Junbi Gao, Chaoyue Tan, Xiaoxiao Han, Ruixia Guo, Liping Han

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Researcher 1 6%
Other 1 6%
Unknown 9 56%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Immunology and Microbiology 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Nursing and Health Professions 1 6%
Economics, Econometrics and Finance 1 6%
Other 1 6%
Unknown 8 50%
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 16 October 2019.
All research outputs
#18,694,159
of 23,168,000 outputs
Outputs from Cell & Bioscience
#582
of 962 outputs
Outputs of similar age
#263,831
of 354,164 outputs
Outputs of similar age from Cell & Bioscience
#12
of 22 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 962 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 12th percentile – i.e., 12% 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 354,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.