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Identification of LINC00173 in Myasthenia Gravis by Integration Analysis of Aberrantly Methylated- Differentially Expressed Genes and ceRNA Networks

Overview of attention for article published in Frontiers in Genetics, September 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Identification of LINC00173 in Myasthenia Gravis by Integration Analysis of Aberrantly Methylated- Differentially Expressed Genes and ceRNA Networks
Published in
Frontiers in Genetics, September 2021
DOI 10.3389/fgene.2021.726751
Pubmed ID
Authors

Si Xu, Tianfeng Wang, Xiaoyu Lu, Huixue Zhang, Li Liu, Xiaotong Kong, Shuang Li, Xu Wang, Hongyu Gao, Jianjian Wang, Lihua Wang

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Biochemistry, Genetics and Molecular Biology 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 June 2022.
All research outputs
#7,406,066
of 23,310,485 outputs
Outputs from Frontiers in Genetics
#2,360
of 12,331 outputs
Outputs of similar age
#137,274
of 402,250 outputs
Outputs of similar age from Frontiers in Genetics
#119
of 758 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,331 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 79% 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 402,250 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 758 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.