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Aging

Transcriptomic analysis of human ALS skeletal muscle reveals a disease-specific pattern of dysregulated circRNAs

Overview of attention for article published in Aging, December 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
6 X users
facebook
1 Facebook page
reddit
2 Redditors
video
1 YouTube creator

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
15 Mendeley
Title
Transcriptomic analysis of human ALS skeletal muscle reveals a disease-specific pattern of dysregulated circRNAs
Published in
Aging, December 2022
DOI 10.18632/aging.204450
Pubmed ID
Authors

Dimitrios Tsitsipatis, Krystyna Mazan-Mamczarz, Ying Si, Allison B Herman, Jen-Hao Yang, Abhishek Guha, Yulan Piao, Jinshui Fan, Jennifer L Martindale, Rachel Munk, Xiaoling Yang, Supriyo De, Brijesh K Singh, Ritchie Ho, Myriam Gorospe, Peter H King

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 2 13%
Other 1 7%
Unknown 8 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Agricultural and Biological Sciences 1 7%
Neuroscience 1 7%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 23 June 2023.
All research outputs
#859,528
of 24,878,531 outputs
Outputs from Aging
#222
of 4,001 outputs
Outputs of similar age
#19,001
of 469,110 outputs
Outputs of similar age from Aging
#18
of 78 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,001 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done particularly well, scoring higher than 94% 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 469,110 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.