Our aim in creating this methodology was to give a sense of the relative productivity of research into Sustainable Development Goals (SDGs) at institutions. We look both at the output, and the impact of that output, to arrive at a scaled score.
Please see here for more details on the background and approach taken for these filters.
The data
The data for our SDG filters is provided by our research partners at Elsevier SciVal. Please see here for the approach they took to creating their SDG mappings. Each SDG is mapped to certain publication keywords which are searchable within SciVal. We requested the following data points for each institution in the QS World University Rankings, for each SDG:
- Total number of papers published in 2016-2020
- Total number of citations received by such papers in 2016-2021, with author-level self-citations excluded
- Number of papers published in Top 10 percent of academic sources as defined by CiteScore Percentile
- Average per paper Field-Weighted Citation Impact (FWCI), with author-level self-citations excluded (once compared to other papers of the same paper type, publication year and subject area of a source)
- Median of per paper citations, with author-level self-citations excluded
- Median of per paper FWCI, with author-level self-citations excluded
Approximately 100 papers with citations and affiliations inordinately above the global median per SDG were excluded.
With the above data points ready per institution per SDG, the following inclusion criteria, indicator set, and adjustment methods were designed.
Inclusion
The eligibility threshold established in the pilot edition of the project is to be among the top three quartiles by the total number of papers in the corresponding SDG.



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