Difference between revisions of "File:Fig6 Kalathil FrontInResMetAnal2018 2.jpg"

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==Summary==
{{Information
|Description='''Figure 6.''' The number of documents in the 134 relevant clusters that contained a specific element varied from under 1,000 to over 12,000, as shown above.
|Source={{cite journal |title=Application of text analytics to extract and analyze material–application pairs from a large scientific corpus |journal=Frontiers in Research Metrics and Analytics |author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. |volume=2 |pages=15 |year=2018 |doi=10.3389/frma.2017.00015}}
|Author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.
|Date=2018
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-4.0}}
{{cc-by-4.0}}

Latest revision as of 18:34, 22 May 2018

Summary

Description

Figure 6. The number of documents in the 134 relevant clusters that contained a specific element varied from under 1,000 to over 12,000, as shown above.

Source

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. (2018). "Application of text analytics to extract and analyze material–application pairs from a large scientific corpus". Frontiers in Research Metrics and Analytics 2: 15. doi:10.3389/frma.2017.00015. 

Date

2018

Author

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.

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Creative Commons Attribution 4.0 International

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