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Spinal Cord Metabolic Signatures in Models of Fast- and Slow-Progressing SOD1G93A Amyotrophic Lateral Sclerosis

Overview of attention for article published in Frontiers in Neuroscience, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Spinal Cord Metabolic Signatures in Models of Fast- and Slow-Progressing SOD1G93A Amyotrophic Lateral Sclerosis
Published in
Frontiers in Neuroscience, December 2019
DOI 10.3389/fnins.2019.01276
Pubmed ID
Authors

Gabriel N. Valbuena, Lavinia Cantoni, Massimo Tortarolo, Caterina Bendotti, Hector C. Keun

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

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Researcher 6 18%
Student > Doctoral Student 3 9%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Other 4 12%
Unknown 9 26%
Readers by discipline Count As %
Neuroscience 12 35%
Biochemistry, Genetics and Molecular Biology 4 12%
Agricultural and Biological Sciences 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Business, Management and Accounting 1 3%
Other 6 18%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 January 2020.
All research outputs
#3,319,692
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#2,290
of 11,883 outputs
Outputs of similar age
#74,628
of 484,809 outputs
Outputs of similar age from Frontiers in Neuroscience
#61
of 309 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 80% 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 484,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.