normalizeCitationScore: Calculate the normalized citation score metric

In massimoaria/bibliometrix: Comprehensive Science Mapping Analysis

Calculate the normalized citation score metric

Description

It calculates the normalized citation score for documents, authors and sources using both global and local citations.

Usage

normalizeCitationScore(M, field = "documents", impact.measure = "local")

Arguments

M	is a bibliographic data frame obtained by convert2df function.
field	is a character. It indicates the unit of analysis on which calculate the NCS. It can be equal to field = c("documents", "authors", "sources"). Default is field = "documents".
impact.measure	is a character. It indicates the impact measure used to rank cluster elements (documents, authors or sources). It can be impact.measure = c("local", "global").\ With impact.measure = "local", normalizeCitationScore calculates elements impact using the Normalized Local Citation Score while using impact.measure = "global", the function uses the Normalized Global Citation Score to measure elements impact.

Details

The document Normalized Citation Score (NCS) of a document is calculated by dividing the actual count of citing items by the expected citation rate for documents with the same year of publication.

The MNCS of a set of documents, for example the collected works of an individual, or published on a journal, is the average of the NCS values for all the documents in the set.

The NGCS is the NCS calculated using the global citations (total citations that a document received considering the whole bibliographic database).

The NLCS is the NCS calculated using the local citations (total citations that a document received from a set of documents included in the same collection).

Value

a dataframe.

Examples

## Not run: 
data(management, package = "bibliometrixData")
NCS <- normalizeCitationScore(management, field = "authors", impact.measure = "local")

## End(Not run)

massimoaria/bibliometrix documentation built on Dec. 12, 2024, 12:47 p.m.