VantagePoint 2020 Now Available!
For today’s insightful analysts
  • Want to add information from other sources to your data? 
Our NEW Data Augmentation and API Import enables you to enrich your content, so you have the information you need to make better decisions.
  • Ready for an easier, “smarter” way to categorize according to your needs?
Our NEW AI powered Smart Trainer helps you quickly categorize your data and save that knowledge for future use.
  • Working with Text and Numbers?
VantagePoint was always great at analyzing text but now our enhanced Statistical Summaries allow you to better understand and visualize your numerical data too.

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What is VantagePoint?

VantagePoint is a professional-grade desktop text mining application offering Analysts a broad suite of powerful refining, analyzing, and reporting tools for scientific, technical, market and patent information.

Introduction to VantagePoint - Click for a quick overview.

VantagePoint Literature - Download our flyer (also in ESPAÑOL, PORTUGUÊS, and DEUTSCH)

VantagePoint plays a role in reports from the UK Intellectual Patent Office.

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"Will my data work in VantagePoint?"

VantagePoint is not locked into any one data source.  Whether you are analyzing publications, patents, or internal data, VantagePoint’s import tools are designed to process information from a wide variety of sources. Browse the Library to see if your key data resources work with VantagePoint or Contact Us if you have a question about your data.

From Excel® to XML, and pretty much anything in between, from patent and publication databases to mining your own email, VantagePoint’s ability to import, refine, analyze and report enables you to transform analysis into insight.

bio.2012.62.issue-3.cover(to appear in BioScience, March 2012)

Alan L. Porter
Technology Policy and Assessment Center, Georgia Institute of Technology, Atlanta, GA, USA
Search Technology, Inc., Norcross, GA, USA

Jon Garner
Search Technology, Inc., Norcross, GA, USA

Todd Crowl
College of Natural Resources, Utah State University, UT, USA


Abstract - The U.S. National Science Foundation Research Coordination Network (RCN) program broke new ground in funding the development of new research communities of practice. This assessment of RCN supports the conclusion that networking activity was increased for a sample set of projects compared to a control group. Journal articles resulting from RCN support score as highly interdisciplinary. Moreover, those articles appear as notably influential, being published in high impact journals and being highly cited. The RCN program does indeed seem to be fostering new biological science research networks.


pdfView/Download preprint in PDF format (opens a new window)

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