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Biochemical markers in vascular cognitive impairment associated with subcortical small vessel disease - A consensus report

Overview of attention for article published in BMC Neurology, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 news outlet
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1 X user
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1 Facebook page

Citations

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74 Dimensions

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120 Mendeley
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Title
Biochemical markers in vascular cognitive impairment associated with subcortical small vessel disease - A consensus report
Published in
BMC Neurology, May 2017
DOI 10.1186/s12883-017-0877-3
Pubmed ID
Authors

A. Wallin, E. Kapaki, M. Boban, S. Engelborghs, D. M. Hermann, B. Huisa, M. Jonsson, M. G. Kramberger, L. Lossi, B. Malojcic, S. Mehrabian, A. Merighi, E. B. Mukaetova-Ladinska, G. P. Paraskevas, B. O. Popescu, R. Ravid, L. Traykov, G. Tsivgoulis, G. Weinstein, A. Korczyn, M. Bjerke, G. Rosenberg

Abstract

Vascular cognitive impairment (VCI) is a heterogeneous entity with multiple aetiologies, all linked to underlying vascular disease. Among these, VCI related to subcortical small vessel disease (SSVD) is emerging as a major homogeneous subtype. Its progressive course raises the need for biomarker identification and/or development for adequate therapeutic interventions to be tested. In order to shed light in the current status on biochemical markers for VCI-SSVD, experts in field reviewed the recent evidence and literature data. The group conducted a comprehensive search on Medline, PubMed and Embase databases for studies published until 15.01.2017. The proposal on current status of biochemical markers in VCI-SSVD was reviewed by all co-authors and the draft was repeatedly circulated and discussed before it was finalized. This review identifies a large number of biochemical markers derived from CSF and blood. There is a considerable overlap of VCI-SSVD clinical symptoms with those of Alzheimer's disease (AD). Although most of the published studies are small and their findings remain to be replicated in larger cohorts, several biomarkers have shown promise in separating VCI-SSVD from AD. These promising biomarkers are closely linked to underlying SSVD pathophysiology, namely disruption of blood-CSF and blood-brain barriers (BCB-BBB) and breakdown of white matter myelinated fibres and extracellular matrix, as well as blood and brain inflammation. The leading biomarker candidates are: elevated CSF/blood albumin ratio, which reflects BCB/BBB disruption; altered CSF matrix metalloproteinases, reflecting extracellular matrix breakdown; CSF neurofilment as a marker of axonal damage, and possibly blood inflammatory cytokines and adhesion molecules. The suggested SSVD biomarker deviations contrasts the characteristic CSF profile in AD, i.e. depletion of amyloid beta peptide and increased phosphorylated and total tau. Combining SSVD and AD biomarkers may provide a powerful tool to identify with greater precision appropriate patients for clinical trials of more homogeneous dementia populations. Thereby, biomarkers might promote therapeutic progress not only in VCI-SSVD, but also in AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 13%
Researcher 15 13%
Student > Master 14 12%
Student > Bachelor 10 8%
Other 6 5%
Other 24 20%
Unknown 35 29%
Readers by discipline Count As %
Neuroscience 24 20%
Medicine and Dentistry 22 18%
Nursing and Health Professions 6 5%
Psychology 6 5%
Agricultural and Biological Sciences 4 3%
Other 18 15%
Unknown 40 33%
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 11 March 2019.
All research outputs
#3,093,456
of 22,977,819 outputs
Outputs from BMC Neurology
#372
of 2,456 outputs
Outputs of similar age
#58,592
of 313,702 outputs
Outputs of similar age from BMC Neurology
#15
of 49 outputs
Altmetric has tracked 22,977,819 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 2,456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 84% 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 313,702 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 81% of its contemporaries.
We're also able to compare this research output to 49 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 69% of its contemporaries.