Title |
MK4MDD: A Multi-Level Knowledge Base and Analysis Platform for Major Depressive Disorder
|
---|---|
Published in |
PLOS ONE, October 2012
|
DOI | 10.1371/journal.pone.0046335 |
Pubmed ID | |
Authors |
Liyuan Guo, Weina Zhang, Suhua Chang, Liuyan Zhang, Jurg Ott, Jing Wang |
Abstract |
Major depressive disorder (MDD) is a complex neuropsychiatric syndrome with high heterogeneity. There are different levels of biological components that underlie MDD and interact with each other. To uncover the disease mechanism, large numbers of studies at different levels have been conducted. There is a growing need to integrate data from multiple levels of research into a database to provide a systematic review of current research results. The cross level integration will also help bridge gaps of different research levels for further understanding on MDD. So far, there has been no such effort for MDD. |
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 % |
---|---|---|
Egypt | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 41 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 18% |
Student > Ph. D. Student | 6 | 14% |
Professor > Associate Professor | 5 | 11% |
Student > Bachelor | 4 | 9% |
Student > Master | 4 | 9% |
Other | 8 | 18% |
Unknown | 9 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 16% |
Neuroscience | 5 | 11% |
Psychology | 4 | 9% |
Agricultural and Biological Sciences | 4 | 9% |
Social Sciences | 3 | 7% |
Other | 5 | 11% |
Unknown | 16 | 36% |