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Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.

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Title: Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
Authors: Grodzinski, Noah1 (AUTHOR), Grodzinski, Ben2 (AUTHOR), Davies, Benjamin M.3 (AUTHOR) bd375@cam.ac.uk
Source: PLoS ONE. 9/2/2021, Vol. 16 Issue 9, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
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  Data: <searchLink fieldCode="AR" term="%22Grodzinski%2C+Noah%22">Grodzinski, Noah</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grodzinski%2C+Ben%22">Grodzinski, Ben</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davies%2C+Benjamin+M%2E%22">Davies, Benjamin M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> bd375@cam.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 9/2/2021, Vol. 16 Issue 9, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=152224317
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        Value: 10.1371/journal.pone.0256997
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        Text: English
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      – TitleFull: Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
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              Text: 9/2/2021
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