MDPI Highly and Lowly Cited Papers
- Citation Author(s):
-
Mohamed Elgendi (University of British Columbia)
- Submitted by:
- Mohamed Elgendi
- Last updated:
- DOI:
- 10.21227/5493-9a35
- Research Article Link:
379 views
- Categories:
Abstract
The database here is obtained via the Multidisciplinary Digital Publishing Institute (MDPI) search engine that ranks all articles from
202 diverse, peer-reviewed, open-access journals. We downloaded and compared 200 articles (100 highly and 100 lowly
cited articles) published in 2017. Note, MDPI provides the article ranking based on the access date. So, all downloaded
articles are categorized highly cited and lowly cited based on the 17th of March 2019 access.
Instructions:
The excel sheet contains eight features (number of citations, number of views, number of pages, number of figures, number of tables, number of equations,
number of authors, and title length)
good
Gayatri Dontamsetti
Wed, 01/01/2020 - 12:46
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