Title |
Alzheimer's disease biomarker discovery using in silico literature mining and clinical validation
|
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Published in |
Journal of Translational Medicine, October 2012
|
DOI | 10.1186/1479-5876-10-217 |
Pubmed ID | |
Authors |
Ines Greco, Nicola Day, Joanna Riddoch-Contreras, Jane Reed, Hilkka Soininen, Iwona Kłoszewska, Magda Tsolaki, Bruno Vellas, Christian Spenger, Patrizia Mecocci, Lars-Olof Wahlund, Andrew Simmons, Julie Barnes, Simon Lovestone |
Abstract |
Alzheimer's Disease (AD) is the most widespread form of dementia in the elderly but despite progress made in recent years towards a mechanistic understanding, there is still an urgent need for disease modification therapy and for early diagnostic tests. Substantial international efforts are being made to discover and validate biomarkers for AD using candidate analytes and various data-driven 'omics' approaches. Cerebrospinal fluid is in many ways the tissue of choice for biomarkers of brain disease but is limited by patient and clinician acceptability, and increasing attention is being paid to the search for blood-based biomarkers. The aim of this study was to use a novel in silico approach to discover a set of candidate biomarkers for AD. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 30% |
United States | 2 | 20% |
Peru | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
France | 1 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 91 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 22% |
Student > Ph. D. Student | 17 | 17% |
Student > Master | 16 | 16% |
Student > Bachelor | 7 | 7% |
Professor | 6 | 6% |
Other | 13 | 13% |
Unknown | 20 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 18% |
Medicine and Dentistry | 12 | 12% |
Computer Science | 11 | 11% |
Biochemistry, Genetics and Molecular Biology | 9 | 9% |
Neuroscience | 7 | 7% |
Other | 17 | 17% |
Unknown | 27 | 27% |