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Plasma phospholipids identify antecedent memory impairment in older adults

Overview of attention for article published in Nature Medicine, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
41 news outlets
blogs
20 blogs
twitter
281 X users
patent
26 patents
peer_reviews
1 peer review site
facebook
7 Facebook pages
wikipedia
1 Wikipedia page
googleplus
7 Google+ users

Citations

dimensions_citation
876 Dimensions

Readers on

mendeley
1243 Mendeley
citeulike
4 CiteULike
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Title
Plasma phospholipids identify antecedent memory impairment in older adults
Published in
Nature Medicine, March 2014
DOI 10.1038/nm.3466
Pubmed ID
Authors

Mark Mapstone, Amrita K Cheema, Massimo S Fiandaca, Xiaogang Zhong, Timothy R Mhyre, Linda H MacArthur, William J Hall, Susan G Fisher, Derick R Peterson, James M Haley, Michael D Nazar, Steven A Rich, Dan J Berlau, Carrie B Peltz, Ming T Tan, Claudia H Kawas, Howard J Federoff

Abstract

Alzheimer's disease causes a progressive dementia that currently affects over 35 million individuals worldwide and is expected to affect 115 million by 2050 (ref. 1). There are no cures or disease-modifying therapies, and this may be due to our inability to detect the disease before it has progressed to produce evident memory loss and functional decline. Biomarkers of preclinical disease will be critical to the development of disease-modifying or even preventative therapies. Unfortunately, current biomarkers for early disease, including cerebrospinal fluid tau and amyloid-β levels, structural and functional magnetic resonance imaging and the recent use of brain amyloid imaging or inflammaging, are limited because they are either invasive, time-consuming or expensive. Blood-based biomarkers may be a more attractive option, but none can currently detect preclinical Alzheimer's disease with the required sensitivity and specificity. Herein, we describe our lipidomic approach to detecting preclinical Alzheimer's disease in a group of cognitively normal older adults. We discovered and validated a set of ten lipids from peripheral blood that predicted phenoconversion to either amnestic mild cognitive impairment or Alzheimer's disease within a 2-3 year timeframe with over 90% accuracy. This biomarker panel, reflecting cell membrane integrity, may be sensitive to early neurodegeneration of preclinical Alzheimer's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 281 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 1,243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 2%
Spain 11 <1%
United Kingdom 9 <1%
Canada 4 <1%
Japan 4 <1%
Italy 3 <1%
South Africa 3 <1%
Austria 2 <1%
Cuba 2 <1%
Other 23 2%
Unknown 1161 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 291 23%
Student > Ph. D. Student 226 18%
Student > Master 121 10%
Student > Bachelor 98 8%
Professor 91 7%
Other 263 21%
Unknown 153 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 327 26%
Medicine and Dentistry 182 15%
Biochemistry, Genetics and Molecular Biology 126 10%
Neuroscience 111 9%
Chemistry 73 6%
Other 205 16%
Unknown 219 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 667. 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 07 November 2023.
All research outputs
#31,899
of 25,402,889 outputs
Outputs from Nature Medicine
#240
of 9,328 outputs
Outputs of similar age
#175
of 235,468 outputs
Outputs of similar age from Nature Medicine
#1
of 94 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,328 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.1. This one has done particularly well, scoring higher than 97% 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 235,468 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 99% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.