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MK4MDD: A Multi-Level Knowledge Base and Analysis Platform for Major Depressive Disorder

Overview of attention for article published in PLOS ONE, October 2012
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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.

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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%