First release.
scopus_plan()], and cheap sizing with
[scopus_count()].scopus_fetch()], with the largest
page each view allows requested by default to keep request counts low, and
resumable, cached, partitioned retrieval through [scopus_fetch_plan()].scopus_records()], with a
summary() method that gives a quick overview.scopus_extract_dois()] and
[scopus_diff_dois()].scopus_compare_topics()], and a plot from
[plot_scopus_comparison()] or autoplot().as_bibliometrix()],
[write_scopus_records()] and [read_scopus_records()].scopus_field_tags()], a
safe query composer in [scopus_query()], and a bundled [example_records]
dataset for offline exploration.scopus_combine()] (and a c() method), plus
as_tibble() and as.data.frame() coercion.scopus_error and its subclasses) and quota-header
parsing with [scopus_quota()].highlight argument and a shaded Wilson
stability band (an illustrative range, switchable with interval).example_records spans several disciplines, and the examples and
five workflow vignettes draw on a wide range of fields.authors column rather than truncated to
the first; very large result totals are handled without overflow; and DOI
cleaning copes with www.doi.org hosts and DOI: labels.