Pull data from the Web of Science

pull_wos wraps the process of querying, downloading, parsing, and processing Web of Science data.

pull_wos(query, editions = c("SCI", "SSCI", "AHCI", "ISTP", "ISSHP",
  "BSCI", "BHCI", "IC", "CCR", "ESCI"),
  sid = auth(Sys.getenv("WOS_USERNAME"), Sys.getenv("WOS_PASSWORD")),
  ...)

Arguments

query	Query string. See the WoS query documentation page for details on how to write a query as well as this list of example queries.
editions	Web of Science editions to query. Possible values are listed here.
sid	Session identifier (SID). The default setting is to get a fresh SID each time you query WoS via a call to auth. However, you should try to reuse SIDs across queries so that you don't run into the throttling limits placed on new sessions.
...	Arguments passed along to POST.

Value

A list of the following data frames:

publication

A data frame where each row corresponds to a different publication. Note that each publication has a distinct ut. There is a one-to-one relationship between a ut and each of the columns in this table.

author

A data frame where each row corresponds to a different publication/author pair (i.e., a ut/author_no pair). In other words, each row corresponds to a different author on a publication. You can link the authors in this table to the address and author_address tables to get their addresses (if they exist). See example in FAQs for details.

address

A data frame where each row corresponds to a different publication/address pair (i.e., a ut/addr_no pair). In other words, each row corresponds to a different address on a publication. You can link the addresses in this table to the author and author_address tables to see which authors correspond to which addresses. See example in FAQs for details.

author_address

A data frame that specifies which authors correspond to which addresses on a given publication. This data frame is meant to be used to link the author and address tables together.

jsc

A data frame where each row corresponds to a different publication/jsc (journal subject category) pair. There is a many-to-many relationship between ut's and jsc's.

keyword

A data frame where each row corresponds to a different publication/keyword pair. These are the author-assigned keywords.

keywords_plus

A data frame where each row corresponds to a different publication/keywords_plus pair. These keywords are the keywords assigned by Clarivate Analytics through an automated process.

grant

A data frame where each row corresponds to a different publication/grant agency/grant ID triplet. Not all publications acknowledge a specific grant number in the funding acknowledgement section, hence the grant_id field can be NA.

doc_type

A data frame where each row corresponds to a different publication/document type pair.

Examples

# NOT RUN {
sid <- auth("your_username", password = "your_password")
pull_wos("TS = (dog welfare) AND PY = 2010", sid = sid)

# Re-use session ID. This is best practice to avoid throttling limits:
pull_wos("TI = \"dog welfare\"", sid = sid)

# Get fresh session ID:
pull_wos("TI = \"pet welfare\"", sid = auth("your_username", "your_password"))

# It's best to see how many records your query matches before actually
# downloading the data. To do this, call query_wos before running pull_wos:
query <- "TS = ((cadmium AND gill*) NOT Pisces)"
query_wos(query, sid = sid) # shows that there are 1,611 matching publications
pull_wos(query, sid = sid)
# }