authorships: Authorships sample
In kalimu/genderizeR: Gender Prediction Based on First Names

Description Usage Format Source

A dataset containing a simple random sample of authorships (unique combination of authors and titles) from WebOfScience records of articles of "biographical-items" or "items-about-individual" types from all fields of study published from 1945 to 2014. The sample was drawn in December 2014.

1	authorships

A data frame with 2641 rows and 5 variables:

title: The title of an article.
authors: All the authors of the article.
value: A single author of the article - with the title forms an authorship; there can be several authorships per article.
genderCoded: Manually coded gender of an author. There are four codes: "female", "male", "noname", "unknown". "Noname" is the code for a case were human coders were not able to find a first name of an author. "Unknown" is the code for a case were the coders found a full name of an author but were not able to verify if she or he is a man or a female.
WOSaccessionNumber: The original ID of an article in WebOfScience database.