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Towards the concept of disease-modifier in post-stroke or vascular cognitive impairment: a consensus report

Overview of attention for article published in BMC Medicine, 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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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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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83 Dimensions

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128 Mendeley
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Title
Towards the concept of disease-modifier in post-stroke or vascular cognitive impairment: a consensus report
Published in
BMC Medicine, May 2017
DOI 10.1186/s12916-017-0869-6
Pubmed ID
Authors

Régis Bordet, Ralf Ihl, Amos D. Korczyn, Giuseppe Lanza, Jelka Jansa, Robert Hoerr, Alla Guekht

Abstract

Vascular cognitive impairment (VCI) is a complex spectrum encompassing post-stroke cognitive impairment (PSCI) and small vessel disease-related cognitive impairment. Despite the growing health, social, and economic burden of VCI, to date, no specific treatment is available, prompting the introduction of the concept of a disease modifier. Within this clinical spectrum, VCI and PSCI remain advancing conditions as neurodegenerative diseases with progression of both vascular and degenerative lesions accounting for cognitive decline. Disease-modifying strategies should integrate both pharmacological and non-pharmacological multimodal approaches, with pleiotropic effects targeting (1) endothelial and brain-blood barrier dysfunction; (2) neuronal death and axonal loss; (3) cerebral plasticity and compensatory mechanisms; and (4) degenerative-related protein misfolding. Moreover, pharmacological and non-pharmacological treatment in PSCI or VCI requires valid study designs clearly stating the definition of basic methodological issues, such as the instruments that should be used to measure eventual changes, the biomarker-based stratification of participants to be investigated, and statistical tests, as well as the inclusion and exclusion criteria that should be applied. A consensus emerged to propose the development of a disease-modifying strategy in VCI and PSCI based on pleiotropic pharmacological and non-pharmacological approaches.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 14%
Researcher 15 12%
Student > Bachelor 13 10%
Student > Master 12 9%
Student > Doctoral Student 9 7%
Other 27 21%
Unknown 34 27%
Readers by discipline Count As %
Medicine and Dentistry 26 20%
Neuroscience 22 17%
Nursing and Health Professions 7 5%
Social Sciences 6 5%
Agricultural and Biological Sciences 4 3%
Other 19 15%
Unknown 44 34%
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 20 November 2017.
All research outputs
#3,147,499
of 22,974,684 outputs
Outputs from BMC Medicine
#1,808
of 3,452 outputs
Outputs of similar age
#59,848
of 313,660 outputs
Outputs of similar age from BMC Medicine
#22
of 48 outputs
Altmetric has tracked 22,974,684 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 3,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 47th percentile – i.e., 47% 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 313,660 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 80% of its contemporaries.
We're also able to compare this research output to 48 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 54% of its contemporaries.