One hundred and thirty-eight real journal articles on graphene supercapacitors published between 2015 and 2024, carrying their real titles, DOIs, source titles, first authors and citation counts. The dataset lets the package be explored, and every example and vignette be run, without an API key.
Format
A scopus_records tibble with 138 rows and the standard schema:
- entry_number
Position within the retrieval.
- scopus_id
Empty throughout. These records did not come from 'Scopus', so they carry no 'Scopus' identifier; de-duplication falls back to the DOI, as it does for any record whose identifier is missing.
- doi
Digital Object Identifier, missing for eleven records.
- title
Document title. Publisher markup for subscripts and italics is stripped; nothing else is altered.
- authors
First author, as named by the source.
- year
Publication year.
- date
Publication date in ISO form.
- publication
Source title, missing for two records.
- citations
Citation count at the time of retrieval.
- query
The search phrase that produced the record.
Source
Retrieved from OpenAlex (https://openalex.org) on 2026-07-22: the
complete result set for the phrase "graphene supercapacitor" in title or
abstract, restricted to journal articles from 2015 to 2024. OpenAlex data is
released under CC0. Retrieval and reshaping are reproducible from
data-raw/example_records.R.
Details
The records are deliberately not a 'Scopus' harvest. The Elsevier API terms
do not permit redistributing retrieved records, so no package can ship one.
These come instead from OpenAlex, whose metadata is released under CC0 and may
therefore be redistributed, and are reshaped into the schema scopus_fetch()
returns. Running the equivalent query against 'Scopus' yields the same kind of
object, with the same columns and the same handling, though not an identical
set of records.
Two properties are worth knowing when reading the examples. The harvest is complete rather than sampled, so the number of rows per year is the real number of publications per year for that query, and the trend figures show a real publication curve. The gaps are also genuine: eleven records carry no DOI and two no source title, exactly as they arrive. They are kept because a real harvest has such gaps, and the reference-set examples are the more useful for showing how they are handled.
Examples
example_records
#> <scopus_records> 138 records
#> query: "graphene supercapacitor"
#> # A tibble: 138 × 9
#> entry_number scopus_id doi title authors year date publication citations
#> <int> <chr> <chr> <chr> <chr> <int> <chr> <chr> <int>
#> 1 1 NA 10.15… Enha… Jianhu… 2015 2015… Journal of… 1
#> 2 2 NA NA Fabr… Patric… 2015 2015… DigitalCom… 0
#> 3 3 NA 10.10… Flex… Zhiwei… 2015 2015… ACS Applie… 469
#> 4 4 NA 10.10… Heav… Vikran… 2015 2015… Electrochi… 195
#> 5 5 NA 10.10… Grap… Chih-T… 2015 2015… Small 108
#> 6 6 NA 10.10… Nano… Hao Ya… 2015 2015… Journal of… 47
#> 7 7 NA 10.11… Capa… Maxwel… 2015 2015… Physical R… 32
#> 8 8 NA 10.13… Grap… Nurbek… 2015 2015… Optics Let… 48
#> 9 9 NA 10.10… Ultr… Zhong-… 2015 2015… Advanced M… 275
#> 10 10 NA 10.10… Etch… Matthe… 2015 2015… Nanotechno… 24
#> # ℹ 128 more rows
# The columns and the behaviour are those of a real retrieval, so the
# analysis helpers work on it directly.
scopus_top(example_records, by = "source", n = 5)
#> # A tibble: 5 × 2
#> value n
#> * <chr> <int>
#> 1 ACS Applied Materials & Interfaces 8
#> 2 Journal of Power Sources 5
#> 3 Synthetic Metals 5
#> 4 Electrochimica Acta 4
#> 5 Journal of Materials Chemistry A 4