While oa_fetch() offers a convenient and flexible way of
retrieving results from queries to the OpenAlex API, we may want to
specify some of its arguments to optimize your API calls for certain use
cases.
This vignette shows how to perform an efficient literature search, comparing to a similar search in PubMed using the rentrez package.
library(openalexR)
library(dplyr)
#> Error in get(paste0(generic, ".", class), envir = get_method_env()) :
#> object 'type_sum.accel' not found
library(rentrez)
#> Warning: package 'rentrez' was built under R version 4.4.2Motivating example
Suppose you’re interested in finding publications that explore the links between the BRAF gene and melanoma.
With the rentrez package, we can use the
entrez_search function retrieves up to 10 records matching
the search query from the PubMed database.
braf_pubmed <- entrez_search(db = "pubmed", term = "BRAF and melanoma", retmax = 10)
braf_pubmed
#> Entrez search result with 8312 hits (object contains 10 IDs and no web_history object)
#> Search term (as translated): "BRAF"[All Fields] AND ("melanoma"[MeSH Terms] OR ...
braf_pubmed$ids |>
entrez_summary(db = "pubmed") |>
extract_from_esummary("title") |>
tibble::enframe("id", "title")
#> # A tibble: 10 × 2
#> id title
#> <chr> <chr>
#> 1 39695080 Inhibition of glutaminase elicits senolysis in therapy-induced sene…
#> 2 39684531 Safety and Efficacy Analysis of Targeted and Immune Combination The…
#> 3 39682270 Regorafenib Combined with BRAF/MEK Inhibitors for the Treatment of …
#> 4 39682258 Retrospective-Prospective Observational Study of Italian Patients T…
#> 5 39682248 Interfering Nuclear Protein Laminb1 Induces DNA Damage and Reduces …
#> 6 39682138 Adjuvant Radiation Therapy in Macroscopic Regional Nodal Melanoma.
#> 7 39673834 A comparison of real-world data on adjuvant treatment in patients w…
#> 8 39656586 Neurologic adverse events associated with BRAF and MEK inhibitor th…
#> 9 39671487 Two-in-one nanoparticle platform induces a strong therapeutic effec…
#> 10 39668671 Patient-reported outcomes in randomized controlled trials evaluatin…On the other hand, with openalexR, we can use the
search argument of oa_fetch():
braf_oa <- oa_fetch(
search = "BRAF AND melanoma",
pages = 1,
per_page = 10,
verbose = TRUE
)
#> Requesting url: https://api.openalex.org/works?search=BRAF%20AND%20melanoma
#> Using basic paging...
#> Getting 1 page of results with a total of 10 records...
#> Warning: Note: `oa_fetch` and `oa2df` now return new names for some columns in openalexR v2.0.0.
#> See NEWS.md for the list of changes.
#> Call `get_coverage()` to view the all updated columns and their original names in OpenAlex.
#> This warning is displayed once every 8 hours.
braf_oa |>
show_works(simp_func = identity) |>
select(1:2)
#> # A tibble: 10 × 2
#> id display_name
#> <chr> <chr>
#> 1 W2128542677 Improved Survival with Vemurafenib in Melanoma with BRAF V600E M…
#> 2 W2106543129 Inhibition of Mutated, Activated BRAF in Metastatic Melanoma
#> 3 W2168143310 Survival in BRAF V600–Mutant Advanced Melanoma Treated with Vemu…
#> 4 W2136474966 Improved Survival with MEK Inhibition in BRAF-Mutated Melanoma
#> 5 W2121545342 Combined Vemurafenib and Cobimetinib in <i>BRAF</i>-Mutated Mela…
#> 6 W2096387850 Combined BRAF and MEK Inhibition versus BRAF Inhibition Alone in…
#> 7 W2128035403 Nivolumab in Previously Untreated Melanoma without<i>BRAF</i>Mut…
#> 8 W1819015028 BRAF and RAS mutations in human lung cancer and melanoma.
#> 9 W2156078931 Combined BRAF and MEK Inhibition in Melanoma with BRAF V600 Muta…
#> 10 W2135925159 Prognostic and Clinicopathologic Associations of Oncogenic <i>BR…This call performs a search using the OpenAlex API, retrieving the 10 most relevant results for the query “BRAF AND melanoma”.
By default, an oa_fetch() call will return all records
associated with a search, for example, querying “BRAF AND melanoma” in
OpenAlex may return over 54,000 records. Fetching all of these records
would be unnecessarily slow, especially when we are often only
interested in the top, say, 10 results (based on citation count or
relevance — more on sorting below).
We can limit the number of results with the arguments
per_page (number of records to return per page, between 1
and 200, default 200) and pages (range of pages to return,
e.g., 1:3 for the first 3 pages, default NULL to
return all pages). For example, if you want the top 250 records, you can
set
-
per_page = 50, pages = 1:5to get exactly 250 records; or -
per_page = 200, pages = 1:2to get 400 records, then you can slice the dataframe one more time to get the first 250.
Sorting results
By default, the results from oa_fetch are sorted based
on relevance_score, a measure of how closely each result
matches the query.1 If a different ordering is desired, such as
sorting by citation count, you can specify sort in the
options argument.
Here are the commonly used sorting options:
-
relevance_score: Default, ranks results based on query match relevance. -
cited_by_count: Sorts results based on the number of times the work has been cited. -
publication_date: Sorts by publication date.
results <- openalexR::oa_fetch(
search = "BRAF AND melanoma",
pages = 1,
per_page = 10,
options = list(sort = "cited_by_count:desc"),
verbose = TRUE
)
#> Requesting url: https://api.openalex.org/works?search=BRAF%20AND%20melanoma&sort=cited_by_count%3Adesc
#> Using basic paging...
#> Getting 1 page of results with a total of 10 records...Conclusion
The openalexR package provides a powerful and flexible
interface for conducting academic literature searches using the OpenAlex
API. By controlling the number of results and the sorting order, you can
tailor your search to retrieve the most relevant or impactful
publications. In cases where large datasets are involved, it’s useful to
limit the number of results returned to ensure efficient and timely
searches.
We encourage users to explore further options provided by
openalexR to refine their search and retrieve the specific
data they need for their research projects: