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Vibrational spectroscopy: a promising approach to discriminate neurodegenerative disorders

Overview of attention for article published in Molecular Neurodegeneration, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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4 X users

Citations

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12 Dimensions

Readers on

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23 Mendeley
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Title
Vibrational spectroscopy: a promising approach to discriminate neurodegenerative disorders
Published in
Molecular Neurodegeneration, May 2018
DOI 10.1186/s13024-018-0252-x
Pubmed ID
Authors

Maria Paraskevaidi, Pierre L. Martin-Hirsch, Francis L. Martin

Abstract

Neurodegenerative diseases are a growing burden in modern society, thus crucially calling for the development of accurate diagnostic strategies. These diseases are currently incurable, a fact which has been attributed to their late diagnosis, after brain damage has already become widespread. An earlier and improved diagnosis is necessary for the enrolment of patients into clinical trials and can pave the way for the development of therapeutic tactics. Novel analytical techniques, such as mass spectrometry and vibrational spectroscopy, have been able to successfully detect and characterise neurodegenerative disorders. It is critical to globally support and make use of innovative basic research and techniques, which could ultimately lead to the creation of a cost-effective diagnostic test. Minimally invasive samples, such as biological fluids, have also been shown to reveal information for these diseases; utilising them could simplify sample collection/analysis and be more preferable to patients.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Other 3 13%
Researcher 3 13%
Student > Ph. D. Student 2 9%
Lecturer 1 4%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 13%
Neuroscience 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Medicine and Dentistry 2 9%
Nursing and Health Professions 1 4%
Other 5 22%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 May 2018.
All research outputs
#12,882,417
of 23,047,237 outputs
Outputs from Molecular Neurodegeneration
#648
of 857 outputs
Outputs of similar age
#153,931
of 326,328 outputs
Outputs of similar age from Molecular Neurodegeneration
#17
of 17 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 326,328 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 52% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.