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aiSee: PubMed Graphs
All graphs were automatically generated by PubNet.
PubNet is a web-based application that accepts as input up to two PubMed queries, and returns as output a network graph based on user-specified node and edge selection properties. Nodes represent data items associated with publications returned by the queries (such as paper IDs, author names, or database IDs), while edges represent instances of shared properties.
PubNet can be used to visualize a variety of relationships, such as the degree to which two authors collaborate or the MeSH Term relatedness of publications with PDB IDs. The visualization is done with the aid of aiSee.
- PubNet gallery
- PubNet gallery of saved submissions
- White paper: PubNet: a flexible system for visualizing literature derived networks
- Related app: Chilibot — mining PubMed for gene/protein/keyword relationships
- Related app: botXminer
- Related app: GeneIlluminator
- Related app: Apropos
- See also: Co-authorship graphs
- More from aiSee users in the US