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A high–throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies

Overview of attention for article published in Acta Neuropathologica Communications, April 2020
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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)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
A high–throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies
Published in
Acta Neuropathologica Communications, April 2020
DOI 10.1186/s40478-020-00918-5
Pubmed ID
Authors

Dominic Scaglioni, Matthew Ellis, Francesco Catapano, Silvia Torelli, Darren Chambers, Lucy Feng, Caroline Sewry, Jennifer Morgan, Francesco Muntoni, Rahul Phadke

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Other 4 17%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Student > Ph. D. Student 2 8%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Medicine and Dentistry 5 21%
Biochemistry, Genetics and Molecular Biology 3 13%
Agricultural and Biological Sciences 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Neuroscience 2 8%
Other 3 13%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 July 2023.
All research outputs
#2,353,344
of 24,674,524 outputs
Outputs from Acta Neuropathologica Communications
#356
of 1,515 outputs
Outputs of similar age
#56,751
of 377,894 outputs
Outputs of similar age from Acta Neuropathologica Communications
#23
of 50 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 76% 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 377,894 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 50 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 56% of its contemporaries.