Description Usage Arguments Value Examples
pull_wos
wraps the process of querying, downloading, parsing, and
processing Web of Science data.
1 2 3 4 | 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")),
...)
|
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 |
... |
Arguments passed along to |
A list of the following data frames:
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.
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.
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.
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.
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.
A data frame where each row corresponds to a different publication/keyword pair. These are the author-assigned keywords.
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.
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
.
A data frame where each row corresponds to a different publication/document type pair.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## 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)
## End(Not run)
|
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