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After the highly similar pairs are identified by eTBLAST, manual examination should be done to verify their amounts of full text similarity and determine whether or not the duplicates are legitimate cases (e.g., update, re-publication by journals) before reporting the cases [5].
To our knowledge, these preliminary results represent one of the first NER evaluations with a substantial amount of full-text articles in the biomedical field.
Inconclusive records were referred for retrieval of full text.
Final screening consisted of the evaluation of full-text reports.
Eligibility screening form on basis of full-text screening.
Forty percent were non-users of full-text articles.
Review of full-text papers identified 136 papers as eligible.
Characterization form on basis of full-text analysis.
A total of 154 full text papers were retrieved.
A total of 293 full text articles were excluded.
A total of 270 articles underwent full text screening.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com