Summary statistics by publication period

Computes per-year summary statistics for works in the corpus.

Usage

sm_summary_period(corpus, call = rlang::caller_env())

Arguments

corpus

An sm_corpus object.

call

Caller environment for error reporting.

Value

A tibble with one row per year and columns: year, n_works, mean_citations, median_citations, total_citations, n_oa, pct_oa, n_authors (unique authors active in that year), mean_authors_per_work.

See also

Other metrics: sm_metric_collab_index(), sm_metric_disruption(), sm_metric_fnci(), sm_metric_g_index(), sm_metric_h_index(), sm_metric_m_index(), sm_metric_novelty(), sm_metric_rcr(), sm_self_citation(), sm_summary_authors(), sm_summary_sources(), sm_summary_works()

Examples

corpus <- sm_example_corpus()
sm_summary_period(corpus)
#> # A tibble: 10 × 9
#>     year n_works mean_citations median_citations total_citations  n_oa pct_oa
#>    <int>   <int>          <dbl>            <dbl>           <int> <int>  <dbl>
#>  1  2015      17           14.2             10               241     8   47.1
#>  2  2016      18           15.3             16               275     9   50  
#>  3  2017      17           11.8             10               201     8   47.1
#>  4  2018      21           15.5             12               325     7   33.3
#>  5  2019      17           16               12               272    10   58.8
#>  6  2020      27           14               11               378    18   66.7
#>  7  2021      18           23.8             22.5             428    10   55.6
#>  8  2022       9           14               12               126     4   44.4
#>  9  2023      25           15.6             10               390    18   72  
#> 10  2024      31           13.4             10               417    21   67.7
#> # ℹ 2 more variables: n_authors <int>, mean_authors_per_work <dbl>