| Title |
Spatial Distribution of Cerebral White Matter Lesions Predicts Progression to Mild Cognitive Impairment and Dementia
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0056972 |
| Pubmed ID | |
| Authors |
Marion Mortamais, Christelle Reynes, Adam M. Brickman, Frank A. Provenzano, Jordan Muraskin, Florence Portet, Claudine Berr, Jacques Touchon, Alain Bonafé, Emmanuelle le Bars, Jerome J. Maller, Chantal Meslin, Robert Sabatier, Karen Ritchie, Sylvaine Artero |
| Abstract |
White matter lesions (WML) increase the risk of dementia. The relevance of WML location is less clear. We sought to determine whether a particular WML profile, based on the density and location of lesions, could be associated with an increased risk of mild cognitive impairment (MCI) or dementia over the following 7 years. |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 5 | 38% |
| Belgium | 1 | 8% |
| Germany | 1 | 8% |
| Italy | 1 | 8% |
| Norway | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 3% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 21% |
| Student > Master | 18 | 19% |
| Researcher | 17 | 18% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 22% |
| Medicine and Dentistry | 14 | 15% |
| Neuroscience | 11 | 11% |
| Agricultural and Biological Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 29 | 30% |