sift: Sift though pubmed records to stratify by potential relevance

In kamclean/impactr:

Sift though pubmed records to stratify by potential relevance

Description

Highlight pubmed records potentially relevant to the authors of interest

Usage

sift(
  extract,
  var_id = "pmid",
  authors = NULL,
  affiliations = NULL,
  keyword = NULL,
  ignoreword = NULL,
  separate = T
)

Arguments

authors	Vector of last name and initial(s) which correspond to relevant authors (default = NULL).
affiliations	Vector of strings which correspond to relevant author affiliations (default = NULL).
keyword	Vector of keyword or patterns that are expected to be present in the title/abstract/journal (default = NULL).
ignoreword	Vector of keyword or patterns that are expected to NOT be present in the title/abstract/journal (default = NULL).
separate	Logical value to separate the output into wheat (highlighted publications) and chaff (unhighlighted publications).
String	of column name with identifier name: "pmid" or "doi" (default: "pmid")

Value

Tibble containing pmid, results from sifting based on the authors, affiliations, and keyword, and the title/journal/abstract to allow further evaluation.

kamclean/impactr documentation built on Jan. 11, 2023, 2:51 p.m.