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Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases

Overview of attention for article published in Frontiers in Molecular Neuroscience, September 2022
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1 X user

Citations

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13 Mendeley
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Title
Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases
Published in
Frontiers in Molecular Neuroscience, September 2022
DOI 10.3389/fnmol.2022.914830
Pubmed ID
Authors

Lucile Mégret, Cloé Mendoza, Maialen Arrieta Lobo, Emmanuel Brouillet, Thi-Thanh-Yen Nguyen, Olivier Bouaziz, Antoine Chambaz, Christian Néri

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Bachelor 2 15%
Student > Master 2 15%
Unknown 7 54%
Readers by discipline Count As %
Computer Science 2 15%
Unspecified 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Business, Management and Accounting 1 8%
Other 1 8%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 September 2022.
All research outputs
#21,300,766
of 23,926,844 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,644
of 3,084 outputs
Outputs of similar age
#348,140
of 435,045 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#153
of 183 outputs
Altmetric has tracked 23,926,844 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 435,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.