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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.