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Title: Scientometric methods for identifying emerging technologies

Abstract

Provided is a method of generating a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain.

Inventors:
; ;
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1224821
Patent Number(s):
9,177,249
Assignee:
UT-Battelle, LLC
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Jun 26
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Abercrombie, Robert K, Schlicher, Bob G, and Sheldon, Frederick T. Scientometric methods for identifying emerging technologies. United States: N. p., 2015. Web.
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Abercrombie, Robert K, Schlicher, Bob G, & Sheldon, Frederick T. Scientometric methods for identifying emerging technologies. United States.
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Abercrombie, Robert K, Schlicher, Bob G, and Sheldon, Frederick T. 2015. "Scientometric methods for identifying emerging technologies". United States. https://www.osti.gov/servlets/purl/1224821.
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@article{osti_1224821,
title = {Scientometric methods for identifying emerging technologies},
author = {Abercrombie, Robert K and Schlicher, Bob G and Sheldon, Frederick T},
abstractNote = {Provided is a method of generating a scientometric model that tracks the emergence of an identified technology from initial discovery (via original scientific and conference literature), through critical discoveries (via original scientific, conference literature and patents), transitioning through Technology Readiness Levels (TRLs) and ultimately on to commercial application. During the period of innovation and technology transfer, the impact of scholarly works, patents and on-line web news sources are identified. As trends develop, currency of citations, collaboration indicators, and on-line news patterns are identified. The combinations of four distinct and separate searchable on-line networked sources (i.e., scholarly publications and citation, worldwide patents, news archives, and on-line mapping networks) are assembled to become one collective network (a dataset for analysis of relations). This established network becomes the basis from which to quickly analyze the temporal flow of activity (searchable events) for the example subject domain.},
doi = {},
url = {https://www.osti.gov/biblio/1224821}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 03 00:00:00 EST 2015},
month = {Tue Nov 03 00:00:00 EST 2015}
}
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Works referenced in this record:

Process for creating and displaying a publication historiograph
patent, April 2004

A study of scientometric methods to identify emerging technologies via modeling of milestones
journal, January 2012

Prediction of emerging technologies based on analysis of the US patent citation network
journal, June 2012

A process for tracking and assessing emerging technology development programs for resource allocation
conference, February 2013

Document classification techniques for automated technology readiness level analysis
journal, January 2008

  • Britt, Barry L.; Berry, Michael W.; Browne, Murray
  • Journal of the American Society for Information Science and Technology, Vol. 59, Issue 4, p. 675-680
  • https://doi.org/10.1002/asi.20770

Challenges for scientometric indicators: data demining, knowledge-flow measurements and diversity issues
journal, June 2008

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