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Michigan Publishing

RNA methylation influences TDP43 binding and disease pathogenesis in models of amyotrophic lateral sclerosis and frontotemporal dementia

Overview of attention for article published in Molecular Cell, January 2023
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
8 news outlets
twitter
54 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
50 Mendeley
Title
RNA methylation influences TDP43 binding and disease pathogenesis in models of amyotrophic lateral sclerosis and frontotemporal dementia
Published in
Molecular Cell, January 2023
DOI 10.1016/j.molcel.2022.12.019
Pubmed ID
Authors

Michael McMillan, Nicolas Gomez, Caroline Hsieh, Michael Bekier, Xingli Li, Roberto Miguez, Elizabeth M.H. Tank, Sami J. Barmada

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 54 tweeters 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 10 20%
Student > Master 8 16%
Unspecified 3 6%
Professor 2 4%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Neuroscience 11 22%
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 9 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Unspecified 2 4%
Other 5 10%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 28 April 2023.
All research outputs
#475,222
of 24,156,282 outputs
Outputs from Molecular Cell
#305
of 7,348 outputs
Outputs of similar age
#10,854
of 444,360 outputs
Outputs of similar age from Molecular Cell
#8
of 84 outputs
Altmetric has tracked 24,156,282 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 95% 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 444,360 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 97% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.