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The article is assigned into a particular domain and it is tagged with the tag ontology of the domain.
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The article is assigned to the domain of the train article that has maximum cosine similarity.
Each article is assigned a journal score for the journal the article was published in (cf., Schläpfer and Storbeck 2012).
The article is assigned to the domain by cosine similarity computing.
That article was assigned to students and cited in scholarly books.
In step 1, each article was assigned a unique identification code.
The subject focus of each article was assigned by Nexis using the LexisNexis SmartIndexing Technology.
Here, the article can be assigned into one or more domains if the numbers of the matched terms of those domains are equivalent.
Although we were able to classify 234 (89%) articles, we still had 29 (11%) that could not be assigned into our adapted one-dimensional model (see cells with white background in Figure 2).
Most articles were assigned to three reviewers and some to four or more.
They were assigned into two different groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com