Below are the RDoQ output for some query scenarios
that have arisen in the CNP (Consortium for Neuropsychiatric Phenomics).
All of these examples can be generated using only
RDoQ predefined term sets
available in the query interface.
Patterns of Collaboration at BCNI in Cambridge
Even brief study gives insights about the impressive extent of collaborations
among researchers at BCNI (click to regenerate):
Core Researchers in CNP in UCLA
Strong CNP collaborators (researchers having at least 10 common publications with another researcher)
form a core network of the project (click to regenerate):
The same table after thresholding for the strongest associations:
This graph can be explored interactively with VUE, and has active links to PubMed:
Similarly, if we click the
button near the bottom of the RDoQ page,
a spreadsheet in .csv format is downloaded:
RDoQ also has temporal controls, allowing it to make "movies" of the history of information in PubMed.
For exampel, we can view the extent of UCLA collaboration at any point in the past 3 decades;
We can use the temporal controls to view the extent of UCLA collaboration at any point in the past 3 decades;
the following sequence shows the state in 1998, 2000, 2002, 2004, 2006, 2008:
RDoQ also permits automated clustering of table entries; one result with this data looks like this:
By pressing the button,
we obtain a file with the graph in VUE format (after thresholding); the graph can be explored interactively with VUE, and has active links to PubMed.
People in the UCLA Neuroscience Program vs. Neurotransmitter Receptors
With RDoQ we can find out which researchers at UCLA have published extensively on
Neurotransmitter Receptors (click to regenerate):
Again, by pressing the button,
we obtain a file containing a graph in VUE format (after thresholding); again, these graphs contain all links to PubMed,
and with the VUE editor the graph can be exported to other formats, including HTML and PDF:
We can immediately obtain a window containing an editable, thresholded version of this graph
by pressing the button: