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Citation metrics are widely used in faculty evaluations and routinely come up in tenure reviews.
Female researchers' scientific impact might be undervalued by citation metrics in some countries.
Proof of this culminated in the 2009 Hefce bibliometrics pilot, run in order to assess the use of citation metrics as the base of all research assessment.
It's difficult to see how these questionable practices reflect anything other than the gaming of an inappropriate editorial policy in order to publish more papers and boost personal citation metrics.
But to be self-referential to such an extent implies a gaming of the system to boost one's own citation metrics (since most measures, like the h-index, do not distinguish between self and non-self citations).
Get a ResearcherID with Web of Knowledge: A ResearcherID can be linked to your ORCID number and facilitates citation metrics and publication tracking using Web of Science tools.
Based on citation metrics generated using the Web of Science and Google Scholar reference databases, the most highly utilised interpretation approaches are lumped parameter models (421 citations), followed closely by direct age models (220 citations).
Inbound citation metrics.
But citation metrics have shortcomings.
Do citation metrics represent valid indicators for mapping research performance?
If the citation metrics selected by us map the construct of research outcome, there must be a high correlation between the citation metrics in terms of convergent validity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com