| Title |
Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0034341 |
| Pubmed ID | |
| Authors |
Daniel Johnstone, Elizabeth A. Milward, Regina Berretta, Pablo Moscato |
| Abstract |
Recent Alzheimer's disease (AD) research has focused on finding biomarkers to identify disease at the pre-clinical stage of mild cognitive impairment (MCI), allowing treatment to be initiated before irreversible damage occurs. Many studies have examined brain imaging or cerebrospinal fluid but there is also growing interest in blood biomarkers. The Alzheimer's Disease Neuroimaging Initiative (ADNI) has generated data on 190 plasma analytes in 566 individuals with MCI, AD or normal cognition. We conducted independent analyses of this dataset to identify plasma protein signatures predicting pre-clinical AD. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Australia | 1 | 20% |
| Egypt | 1 | 20% |
| Japan | 1 | 20% |
| Brazil | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Belgium | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 164 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 18% |
| Researcher | 29 | 17% |
| Other | 14 | 8% |
| Student > Master | 11 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 35 | 21% |
| Unknown | 38 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 20% |
| Medicine and Dentistry | 22 | 13% |
| Neuroscience | 13 | 8% |
| Biochemistry, Genetics and Molecular Biology | 11 | 7% |
| Computer Science | 8 | 5% |
| Other | 34 | 20% |
| Unknown | 47 | 28% |