Difference between revisions of "File:Fig11 Kalathil FrontInResMetAnal2018 2.jpg"

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==Summary==
{{Information
|Description='''Figure 11.''' 4-year moving averages for lithium and nickel document counts in term cluster 361. These results from SRI algorithms show decreasing activity in battery research using nickel hydrides by 2008 while lithium research increased for battery applications.
|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 19:58, 22 May 2018

Summary

Description

Figure 11. 4-year moving averages for lithium and nickel document counts in term cluster 361. These results from SRI algorithms show decreasing activity in battery research using nickel hydrides by 2008 while lithium research increased for battery applications.

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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