Grey Literature
Encyclopedia of Libraries, Librarianship, and Information Science, Vol: 2, Page: 388-393
2025
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Grey literature, emerging in the latter 20th century, denotes various document types beyond the usual publishing mainstream. Often (mis)understood as unpublished and not peer reviewed, it encompasses diverse document types such as reports, theses, and government documents. Despite digital advancements enhancing accessibility, challenges persist: poor referencing and preservation threaten sustainability. Grey literature, ubiquitous globally, finds increasing dissemination through open access channels like repositories and preprint servers, amplifying its impact in fields like public policy. Open science׳s rise promises greater visibility, yet poses challenges of quality control and long-term preservation. Amidst these transformations, artificial intelligence offers both solutions and complexities, reshaping the landscape of grey literature dissemination and discovery.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/B978032395689500153X; http://dx.doi.org/10.1016/b978-0-323-95689-5.00153-x; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85218383046&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/B978032395689500153X; https://dx.doi.org/10.1016/b978-0-323-95689-5.00153-x
Elsevier BV
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