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Small Molecule Targeting TDP-43’s RNA Recognition Motifs Reduces Locomotor Defects in a Drosophila Model of Amyotrophic Lateral Sclerosis (ALS)

Overview of attention for article published in ACS Chemical Biology, June 2019
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
47 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Small Molecule Targeting TDP-43’s RNA Recognition Motifs Reduces Locomotor Defects in a Drosophila Model of Amyotrophic Lateral Sclerosis (ALS)
Published in
ACS Chemical Biology, June 2019
DOI 10.1021/acschembio.9b00481
Pubmed ID
Authors

Liberty François-Moutal, Razaz Felemban, David D. Scott, Melissa R. Sayegh, Victor G. Miranda, Samantha Perez-Miller, Rajesh Khanna, Vijay Gokhale, Daniela C. Zarnescu, May Khanna

Twitter Demographics

The data shown below were collected from the profiles of 47 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 33%
Student > Bachelor 9 18%
Researcher 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 2 4%
Other 5 10%
Unknown 10 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 35%
Chemistry 9 18%
Neuroscience 6 12%
Agricultural and Biological Sciences 3 6%
Chemical Engineering 1 2%
Other 3 6%
Unknown 10 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 April 2020.
All research outputs
#664,458
of 17,405,806 outputs
Outputs from ACS Chemical Biology
#61
of 2,703 outputs
Outputs of similar age
#17,350
of 270,600 outputs
Outputs of similar age from ACS Chemical Biology
#3
of 74 outputs
Altmetric has tracked 17,405,806 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 2,703 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 97% 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 270,600 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 93% of its contemporaries.
We're also able to compare this research output to 74 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 97% of its contemporaries.