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Analysis of references in the IPCC AR6 WG2 Report of 2022
Cameron Neylon; Bianca Kramer;
Cameron Neylon; Bianca Kramer;
Analysis of references in the IPCC AR6 WG2 Report of 2022
This repository contains data on 17,419 DOIs cited in the IPCC Working Group 2 contribution to the Sixth Assessment Report, and the code to link them to the dataset built at the Curtin Open Knowledge Initiative (COKI). References were extracted from the report's PDFs (downloaded 2022-03-01) via Scholarcy and exported as RIS and BibTeX files. DOI strings were identified from RIS files by pattern matching and saved as CSV file. The list of DOIs for each chapter and cross chapter paper was processed using a custom Python script to generate a pandas DataFrame which was saved as CSV file and uploaded to Google Big Query. We used the main object table of the Academic Observatory, which combines information from Crossref, Unpaywall, Microsoft Academic, Open Citations, the Research Organization Registry and Geonames to enrich the DOIs with bibliographic information, affiliations, and open access status. A custom query was used to join and format the data and the resulting table was visualised in a Google DataStudio dashboard. This version of the repository also includes the set of DOIs from references in the IPCC Working Group 1 contribution to the Sixth Assessment Report as extracted by Alexis-Michel Mugabushaka and shared on Zenodo: https://doi.org/10.5281/zenodo.5475442 (CC-BY) A brief descriptive analysis was provided as a blogpost on the COKI website. The repository contains the following content: Data: data/scholarcy/RIS/ - extracted references as RIS files data/scholarcy/BibTeX/ - extracted references as BibTeX files IPCC_AR6_WGII_dois.csv - list of DOIs data/10.5281_zenodo.5475442/ - references from IPCC AR6 WG1 report Processing: preprocessing.R - preprocessing steps for identifying and cleaning DOIs process.py - Python script for transforming data and linking to COKI data through Google Big Query Outcomes: Dataset on BigQuery - requires a google account for access and bigquery account for querying Data Studio Dashboard - interactive analysis of the generated data Zotero library of references extracted via Scholarcy PDF version of blogpost Note on licenses: Data are made available under CC0 (with the exception of WG1 reference data, which have been shared under CC-BY 4.0) Code is made available under Apache License 2.0
Archived version of Release 2022-03-10 of GitHub repository: https://github.com/Curtin-Open-Knowledge-Initiative/ipcc-ar6
IPCC, Crossref, references, DOIs
IPCC, Crossref, references, DOIs
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 532 downloads 32 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 532views32downloads
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts Average
Average
Average
532
32
This repository contains data on 17,419 DOIs cited in the IPCC Working Group 2 contribution to the Sixth Assessment Report, and the code to link them to the dataset built at the Curtin Open Knowledge Initiative (COKI). References were extracted from the report's PDFs (downloaded 2022-03-01) via Scholarcy and exported as RIS and BibTeX files. DOI strings were identified from RIS files by pattern matching and saved as CSV file. The list of DOIs for each chapter and cross chapter paper was processed using a custom Python script to generate a pandas DataFrame which was saved as CSV file and uploaded to Google Big Query. We used the main object table of the Academic Observatory, which combines information from Crossref, Unpaywall, Microsoft Academic, Open Citations, the Research Organization Registry and Geonames to enrich the DOIs with bibliographic information, affiliations, and open access status. A custom query was used to join and format the data and the resulting table was visualised in a Google DataStudio dashboard. This version of the repository also includes the set of DOIs from references in the IPCC Working Group 1 contribution to the Sixth Assessment Report as extracted by Alexis-Michel Mugabushaka and shared on Zenodo: https://doi.org/10.5281/zenodo.5475442 (CC-BY) A brief descriptive analysis was provided as a blogpost on the COKI website. The repository contains the following content: Data: data/scholarcy/RIS/ - extracted references as RIS files data/scholarcy/BibTeX/ - extracted references as BibTeX files IPCC_AR6_WGII_dois.csv - list of DOIs data/10.5281_zenodo.5475442/ - references from IPCC AR6 WG1 report Processing: preprocessing.R - preprocessing steps for identifying and cleaning DOIs process.py - Python script for transforming data and linking to COKI data through Google Big Query Outcomes: Dataset on BigQuery - requires a google account for access and bigquery account for querying Data Studio Dashboard - interactive analysis of the generated data Zotero library of references extracted via Scholarcy PDF version of blogpost Note on licenses: Data are made available under CC0 (with the exception of WG1 reference data, which have been shared under CC-BY 4.0) Code is made available under Apache License 2.0
Archived version of Release 2022-03-10 of GitHub repository: https://github.com/Curtin-Open-Knowledge-Initiative/ipcc-ar6