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Literature search

Source: vignettes/articles/literature-search.Rmd
literature-search.Rmd

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.

Motivating 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 8485 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 40282469 Recent Developments in Targeting the Cell Cycle in Melanoma.        
#>  2 40279684 Durable responses upon short-term addition of targeted therapy to a…
#>  3 40276578 Circulating tumor DNA monitoring in advanced mutated melanoma (LIQU…
#>  4 40270074 High-grade astrocytoma with piloid features: a single-institution c…
#>  5 40269332 CMV serostatus is associated with improved survival and delayed tox…
#>  6 40267332 Pharmacist tailored monitoring for patients initiating encorafenib …
#>  7 40262755 [Treatment of metastatic melanoma: update 2025].                    
#>  8 40253487 Unveiling the BRAF fusion structure variations through DNA and RNA …
#>  9 40251644 Adjuvant dendritic cell-based immunotherapy in melanoma: insights i…
#> 10 40250457 Clinical validation of droplet digital PCR assays in detecting BRAF…

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...
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 W2128035403 Nivolumab in Previously Untreated Melanoma without<i>BRAF</i>Mut…
#>  4 W2168143310 Survival in BRAF V600–Mutant Advanced Melanoma Treated with Vemu…
#>  5 W2096387850 Combined BRAF and MEK Inhibition versus BRAF Inhibition Alone in…
#>  6 W2136474966 Improved Survival with MEK Inhibition in BRAF-Mutated Melanoma   
#>  7 W2121545342 Combined Vemurafenib and Cobimetinib in <i>BRAF</i>-Mutated Mela…
#>  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 = 1:5 to get exactly 250 records; or
  • per_page = 200, pages = 1:2 to 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: