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Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis

Overview of attention for article published in Molecular Neurodegeneration, August 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 864)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
twitter
14 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis
Published in
Molecular Neurodegeneration, August 2021
DOI 10.1186/s13024-021-00470-3
Pubmed ID
Authors

Laura Pasetto, Stefano Callegaro, Alessandro Corbelli, Fabio Fiordaliso, Deborah Ferrara, Laura Brunelli, Giovanna Sestito, Roberta Pastorelli, Elisa Bianchi, Marina Cretich, Marcella Chiari, Cristina Potrich, Cristina Moglia, Massimo Corbo, Gianni Sorarù, Christian Lunetta, Andrea Calvo, Adriano Chiò, Gabriele Mora, Maria Pennuto, Alessandro Quattrone, Francesco Rinaldi, Vito Giuseppe D’Agostino, Manuela Basso, Valentina Bonetto

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 9 14%
Professor 4 6%
Student > Postgraduate 4 6%
Student > Bachelor 3 5%
Other 9 14%
Unknown 24 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 23%
Neuroscience 8 12%
Chemistry 3 5%
Engineering 3 5%
Medicine and Dentistry 3 5%
Other 9 14%
Unknown 25 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 22 September 2021.
All research outputs
#841,787
of 23,310,485 outputs
Outputs from Molecular Neurodegeneration
#37
of 864 outputs
Outputs of similar age
#21,313
of 431,379 outputs
Outputs of similar age from Molecular Neurodegeneration
#1
of 27 outputs
Altmetric has tracked 23,310,485 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 864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. 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 431,379 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 95% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.