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Identification of Inflammation-Related Biomarkers in Diabetes of the Exocrine Pancreas With the Use of Weighted Gene Co-Expression Network Analysis

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

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10 Mendeley
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Title
Identification of Inflammation-Related Biomarkers in Diabetes of the Exocrine Pancreas With the Use of Weighted Gene Co-Expression Network Analysis
Published in
Frontiers in endocrinology, April 2022
DOI 10.3389/fendo.2022.839865
Pubmed ID
Authors

Guoqing Li, Jinfang Sun, Jun Zhang, Yingqi Lv, Dechen Liu, Xiangyun Zhu, Liang Qi, Zhiwei Chen, Zheng Ye, Xianghui Su, Ling Li

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 30%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Professor 1 10%
Student > Ph. D. Student 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Biochemistry, Genetics and Molecular Biology 3 30%
Environmental Science 1 10%
Unknown 3 30%
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 14 April 2022.
All research outputs
#17,813,674
of 26,166,431 outputs
Outputs from Frontiers in endocrinology
#5,340
of 13,370 outputs
Outputs of similar age
#272,271
of 452,864 outputs
Outputs of similar age from Frontiers in endocrinology
#273
of 705 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% 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 has gotten more attention than average, scoring higher than 58% 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 452,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 705 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 60% of its contemporaries.