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Perform science mapping and bibliometric analysis with R bibliometrix
Passed 25 of 25 test cases with the skill, and 21 of 25 without it.
and 1 more in the full report
4 fixed21 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to install the development version of the R science mapping package directly from its official GitHub repository rather than installing the CRAN release. What R command performs this installation?
| Checked | Without skill | With skill |
|---|---|---|
| Calls devtools::install_github pointing to massimoaria/bibliometrix | Missed | Passed |
The instructions your model reads when the skill loads.
Bibliometrix is an R package for comprehensive science mapping and bibliometric analysis. It imports data from Scopus, Web of Science, PubMed, and other databases, then performs co-citation analysis, keyword co-occurrence mapping, collaboration networks, thematic evolution tracking, and more. Includes Biblioshiny — a Shiny-based web interface for no-code analysis.
install.packages("bibliometrix")
# Or development version
devtools::install_github("massimoaria/bibliometrix")
library(bibliometrix)
# From Scopus CSV export
M <- convert2df("scopus_export.csv", dbsource = "scopus", format = "csv")
# From Web of Science
M <- convert2df("wos_export.txt", dbsource = "wos", format = "plaintext")
# From PubMed
M <- convert2df("pubmed_export.txt", dbsource = "pubmed", format = "pubmed")
# From multiple files
file_list <- c("data1.csv", "data2.csv")
M <- convert2df(file_list, dbsource = "scopus", format = "csv")
# Basic bibliometric summary
test cases passed, vs 21 / 25 without
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