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Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning

Overview of attention for article published in Frontiers in endocrinology, September 2023
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Mentioned by

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2 X users

Citations

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3 Dimensions

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3 Mendeley
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Title
Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning
Published in
Frontiers in endocrinology, September 2023
DOI 10.3389/fendo.2023.1206154
Pubmed ID
Authors

Jiaming Su, Jing Peng, Lin Wang, Huidi Xie, Ying Zhou, Haimin Chen, Yang Shi, Yan Guo, Yicheng Zheng, Yuxin Guo, Zhaoxi Dong, Xianhui Zhang, Hongfang 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Chemistry 1 33%
Unknown 2 67%
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 01 September 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from Frontiers in endocrinology
#6,741
of 13,030 outputs
Outputs of similar age
#252,563
of 353,101 outputs
Outputs of similar age from Frontiers in endocrinology
#296
of 759 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 is in the 36th percentile – i.e., 36% 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 353,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 759 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.