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Identification of homologous GluN subunits variants accelerates GRIN variants stratification

Overview of attention for article published in Frontiers in Cellular Neuroscience, December 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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4 X users

Citations

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2 Dimensions

Readers on

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7 Mendeley
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Title
Identification of homologous GluN subunits variants accelerates GRIN variants stratification
Published in
Frontiers in Cellular Neuroscience, December 2022
DOI 10.3389/fncel.2022.998719
Pubmed ID
Authors

Ana Santos-Gómez, Adrián García-Recio, Federico Miguez-Cabello, David Soto, Xavier Altafaj, Mireia Olivella

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Unknown 6 86%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Unknown 5 71%
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 29 February 2024.
All research outputs
#8,483,362
of 25,394,764 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,603
of 4,702 outputs
Outputs of similar age
#159,049
of 477,764 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#31
of 121 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,702 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 65% 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 477,764 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 66% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.