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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasma Biomarkers of Brain Atrophy in Alzheimer's Disease
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0028527 |
| Pubmed ID | |
| Authors |
Madhav Thambisetty, Andrew Simmons, Abdul Hye, James Campbell, Eric Westman, Yi Zhang, Lars-Olof Wahlund, Anna Kinsey, Mirsada Causevic, Richard Killick, Iwona Kloszewska, Patrizia Mecocci, Hilkka Soininen, Magda Tsolaki, Bruno Vellas, Christian Spenger, Simon Lovestone |
| Abstract |
Peripheral biomarkers of Alzheimer's disease (AD) reflecting early neuropathological change are critical to the development of treatments for this condition. The most widely used indicator of AD pathology in life at present is neuroimaging evidence of brain atrophy. We therefore performed a proteomic analysis of plasma to derive biomarkers associated with brain atrophy in AD. Using gel based proteomics we previously identified seven plasma proteins that were significantly associated with hippocampal volume in a combined cohort of subjects with AD (N = 27) and MCI (N = 17). In the current report, we validated this finding in a large independent cohort of AD (N = 79), MCI (N = 88) and control (N = 95) subjects using alternative complementary methods-quantitative immunoassays for protein concentrations and estimation of pathology by whole brain volume. We confirmed that plasma concentrations of five proteins, together with age and sex, explained more than 35% of variance in whole brain volume in AD patients. These proteins are complement components C3 and C3a, complement factor-I, γ-fibrinogen and alpha-1-microglobulin. Our findings suggest that these plasma proteins are strong predictors of in vivo AD pathology. Moreover, these proteins are involved in complement activation and coagulation, providing further evidence for an intrinsic role of these pathways in AD pathogenesis. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| France | 2 | 2% |
| Chile | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 112 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 21% |
| Student > Master | 17 | 14% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Bachelor | 7 | 6% |
| Professor | 6 | 5% |
| Other | 18 | 15% |
| Unknown | 29 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 24 | 20% |
| Agricultural and Biological Sciences | 21 | 18% |
| Medicine and Dentistry | 18 | 15% |
| Psychology | 7 | 6% |
| Chemistry | 5 | 4% |
| Other | 9 | 8% |
| Unknown | 34 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 October 2022.
All research outputs
#6,943,998
of 24,652,007 outputs
Outputs from PLOS ONE
#92,591
of 213,160 outputs
Outputs of similar age
#59,569
of 252,255 outputs
Outputs of similar age from PLOS ONE
#824
of 2,936 outputs
Altmetric has tracked 24,652,007 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 213,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 56% 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 252,255 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 76% of its contemporaries.
We're also able to compare this research output to 2,936 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 71% of its contemporaries.