Identifies which DOIs were added, removed or unchanged between an earlier and a later retrieval. This supports change tracking: re-running a search later and seeing exactly what is new.
Arguments
- old, new
scopus_records objects or character vectors of DOIs, representing the earlier (
old) and later (new) retrievals.
Value
A tibble of class scopus_doi_diff with columns doi and status,
where status is an ordered factor with levels "added" (in new only),
"removed" (in old only) and "unchanged" (in both). Rows are sorted by
status then DOI, and printing shows the counts in each category.
Examples
# A baseline retrieval and the same search re-run a year later, both taken
# from the bundled corpus of real articles: the second pull has gained the
# 2024 records and lost the first one to re-indexing.
baseline <- example_records[example_records$year <= 2023, ]
later <- example_records[-1, ]
scopus_diff_dois(old = baseline, new = later)
#> <scopus_doi_diff> 14 added, 1 removed, 112 unchanged
#> # A tibble: 127 × 2
#> doi status
#> <chr> <fct>
#> 1 10.1002/adfm.202315137 added
#> 2 10.1002/asia.202400548 added
#> 3 10.1002/slct.202302535 added
#> 4 10.1016/j.cej.2024.148822 added
#> 5 10.1016/j.diamond.2024.110842 added
#> 6 10.1016/j.isci.2024.111696 added
#> 7 10.1016/j.jallcom.2024.175000 added
#> 8 10.1016/j.jallcom.2024.177248 added
#> 9 10.1016/j.jpowsour.2024.234127 added
#> 10 10.1016/j.jpowsour.2024.236149 added
#> # ℹ 117 more rows