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1H-NMR-based metabolic profiling identifies non-invasive diagnostic and predictive urinary fingerprints in 5q spinal muscular atrophy

Overview of attention for article published in Orphanet Journal of Rare Diseases, October 2021
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
30 Mendeley
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Title
1H-NMR-based metabolic profiling identifies non-invasive diagnostic and predictive urinary fingerprints in 5q spinal muscular atrophy
Published in
Orphanet Journal of Rare Diseases, October 2021
DOI 10.1186/s13023-021-02075-x
Pubmed ID
Authors

Afshin Saffari, Claire Cannet, Astrid Blaschek, Andreas Hahn, Georg F. Hoffmann, Jessika Johannsen, Romy Kirsten, Musa Kockaya, Stefan Kölker, Wolfgang Müller-Felber, Andreas Roos, Hartmut Schäfer, Ulrike Schara, Manfred Spraul, Friedrich K. Trefz, Katharina Vill, Wolfgang Wick, Markus Weiler, Jürgen G. Okun, Andreas Ziegler

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Other 2 7%
Unspecified 1 3%
Other 2 7%
Unknown 11 37%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Biochemistry, Genetics and Molecular Biology 3 10%
Chemistry 2 7%
Neuroscience 2 7%
Sports and Recreations 1 3%
Other 2 7%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 March 2022.
All research outputs
#3,233,303
of 23,443,716 outputs
Outputs from Orphanet Journal of Rare Diseases
#456
of 2,697 outputs
Outputs of similar age
#73,789
of 440,251 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#14
of 123 outputs
Altmetric has tracked 23,443,716 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,697 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 82% 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 440,251 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 83% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.