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Predictive Modeling of MAFLD Based on Hsp90α and the Therapeutic Application of Teprenone in a Diet-Induced Mouse Model

Overview of attention for article published in Frontiers in endocrinology, September 2021
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2 X users

Citations

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7 Dimensions

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9 Mendeley
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Title
Predictive Modeling of MAFLD Based on Hsp90α and the Therapeutic Application of Teprenone in a Diet-Induced Mouse Model
Published in
Frontiers in endocrinology, September 2021
DOI 10.3389/fendo.2021.743202
Pubmed ID
Authors

Yuan Xie, Lu Chen, Zhipeng Xu, Chen Li, Yangyue Ni, Min Hou, Lin Chen, Hao Chang, Yuxuan Yang, Huiquan Wang, Rongbo He, Rourou Chen, Li Qian, Yan Luo, Ying Zhang, Na Li, Yuxiao Zhu, Minjun Ji, Yu 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 11%
Student > Doctoral Student 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Agricultural and Biological Sciences 1 11%
Neuroscience 1 11%
Medicine and Dentistry 1 11%
Unknown 4 44%
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 30 September 2021.
All research outputs
#20,580,732
of 26,163,973 outputs
Outputs from Frontiers in endocrinology
#5,996
of 13,370 outputs
Outputs of similar age
#314,962
of 440,396 outputs
Outputs of similar age from Frontiers in endocrinology
#260
of 507 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 47th percentile – i.e., 47% 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 440,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 507 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.