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White paper by the Society for CSF Analysis and Clinical Neurochemistry: Overcoming barriers in biomarker development and clinical translation

Overview of attention for article published in Alzheimer's Research & Therapy, March 2018
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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)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users

Citations

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44 Dimensions

Readers on

mendeley
102 Mendeley
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Title
White paper by the Society for CSF Analysis and Clinical Neurochemistry: Overcoming barriers in biomarker development and clinical translation
Published in
Alzheimer's Research & Therapy, March 2018
DOI 10.1186/s13195-018-0359-x
Pubmed ID
Authors

Charlotte E. Teunissen, Markus Otto, Sebastiaan Engelborghs, Sanna-Kaisa Herukka, Sylvain Lehmann, Piotr Lewczuk, Alberto Lleó, Armand Perret-Liaudet, Hayrettin Tumani, Martin R. Turner, Marcel M. Verbeek, Jens Wiltfang, Henrik Zetterberg, Lucilla Parnetti, Kaj Blennow

Abstract

Body fluid biomarkers have great potential for different clinical purposes, including diagnosis, prognosis, patient stratification and treatment effect monitoring. This is exemplified by current use of several excellent biomarkers, such as the Alzheimer's disease cerebrospinal fluid (CSF) biomarkers, anti-neuromyelitis optica antibodies and blood neurofilament light. We still, however, have a strong need for additional biomarkers and several gaps in their development and implementation should be filled. Examples of such gaps are i) limited knowledge of the causes of neurological diseases, and thus hypotheses about the best biomarkers to detect subclinical stages of these diseases; ii) the limited success translating discoveries obtained by e.g. initial mass spectrometry proteomic low-throughput studies into immunoassays for widespread clinical implementation; iii) lack of interaction among all stakeholders to optimise and adapt study designs throughout the biomarker development process to medical needs, which may change during the long period needed for biomarker development.The Society for CSF Analysis and Clinical Neurochemistry (established in 2015) has been founded as a concerted follow-up of large standardisation projects, including BIOMARKAPD and SOPHIA, and the BioMS-consortium.The main aims of the CSF society are to exchange high level international scientific experience, to facilitate the incorporation of CSF diagnostics into clinical practice and to give advice on inclusion of CSF analysis into clinical guidelines. The society has a broad scope, as its vision is that the gaps in development and implementation of biomarkers are shared among almost all neurological diseases and thus they can benefit from the activities of the society.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Ph. D. Student 16 16%
Student > Postgraduate 8 8%
Other 7 7%
Student > Master 7 7%
Other 20 20%
Unknown 27 26%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Neuroscience 14 14%
Biochemistry, Genetics and Molecular Biology 11 11%
Agricultural and Biological Sciences 5 5%
Computer Science 3 3%
Other 16 16%
Unknown 34 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 August 2019.
All research outputs
#2,474,087
of 23,322,258 outputs
Outputs from Alzheimer's Research & Therapy
#571
of 1,268 outputs
Outputs of similar age
#54,912
of 334,588 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#13
of 34 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,268 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 54% 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 334,588 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 34 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 64% of its contemporaries.