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Fluid-Based Biomarkers for Amyotrophic Lateral Sclerosis

Overview of attention for article published in Neurotherapeutics, January 2017
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
patent
8 patents
wikipedia
1 Wikipedia page

Citations

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75 Dimensions

Readers on

mendeley
155 Mendeley
Title
Fluid-Based Biomarkers for Amyotrophic Lateral Sclerosis
Published in
Neurotherapeutics, January 2017
DOI 10.1007/s13311-016-0503-x
Pubmed ID
Authors

Lucas T Vu, Robert Bowser

Abstract

Amyotrophic lateral sclerosis (ALS) is a highly heterogeneous disease with no effective treatment. Drug development has been hampered by the lack of biomarkers that aid in early diagnosis, demonstrate target engagement, monitor disease progression, and can serve as surrogate endpoints to assess the efficacy of treatments. Fluid-based biomarkers may potentially address these issues. An ideal biomarker should exhibit high specificity and sensitivity for distinguishing ALS from control (appropriate disease mimics and other neurologic diseases) populations and monitor disease progression within individual patients. Significant progress has been made using cerebrospinal fluid, serum, and plasma in the search for ALS biomarkers, with urine and saliva biomarkers still in earlier stages of development. A few of these biomarker candidates have demonstrated use in patient stratification, predicting disease course (fast vs slow progression) and severity, or have been used in preclinical and clinical applications. However, while ALS biomarker discovery has seen tremendous advancements in the last decade, validating biomarkers and moving them towards the clinic remains more elusive. In this review, we highlight biomarkers that are moving towards clinical utility and the challenges that remain in order to implement biomarkers at all stages of the ALS drug development process.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 15%
Researcher 23 15%
Student > Master 17 11%
Student > Bachelor 12 8%
Other 10 6%
Other 22 14%
Unknown 48 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 19%
Neuroscience 23 15%
Agricultural and Biological Sciences 17 11%
Medicine and Dentistry 13 8%
Immunology and Microbiology 4 3%
Other 15 10%
Unknown 53 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 31 October 2023.
All research outputs
#1,852,486
of 25,371,288 outputs
Outputs from Neurotherapeutics
#156
of 1,308 outputs
Outputs of similar age
#36,898
of 421,641 outputs
Outputs of similar age from Neurotherapeutics
#5
of 23 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 88% 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 421,641 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 91% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.