| Title |
Prediction of Dementia in Primary Care Patients
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0016852 |
| Pubmed ID | |
| Authors |
Frank Jessen, Birgitt Wiese, Horst Bickel, Sandra Eiffländer-Gorfer, Angela Fuchs, Hanna Kaduszkiewicz, Mirjam Köhler, Tobias Luck, Edelgard Mösch, Michael Pentzek, Steffi G. Riedel-Heller, Michael Wagner, Siegfried Weyerer, Wolfgang Maier, Hendrik van den Bussche |
| Abstract |
Current approaches for AD prediction are based on biomarkers, which are however of restricted availability in primary care. AD prediction tools for primary care are therefore needed. We present a prediction score based on information that can be obtained in the primary care setting. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 189 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 20% |
| Researcher | 33 | 17% |
| Student > Master | 22 | 11% |
| Student > Bachelor | 17 | 9% |
| Other | 10 | 5% |
| Other | 34 | 17% |
| Unknown | 41 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 26% |
| Psychology | 37 | 19% |
| Nursing and Health Professions | 13 | 7% |
| Neuroscience | 11 | 6% |
| Agricultural and Biological Sciences | 9 | 5% |
| Other | 26 | 13% |
| Unknown | 50 | 25% |