MDPI Highly and Lowly Cited Papers

MDPI Highly and Lowly Cited Papers

Citation Author(s):
Mohamed
Elgendi
University of British Columbia
Submitted by:
Mohamed Elgendi
Last updated:
Thu, 04/25/2019 - 15:00
DOI:
10.21227/5493-9a35
License:
Dataset Views:
80
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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)

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[1] Mohamed Elgendi, "MDPI Highly and Lowly Cited Papers", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/5493-9a35. Accessed: Sep. 20, 2019.
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doi = {10.21227/5493-9a35},
url = {http://dx.doi.org/10.21227/5493-9a35},
author = {Mohamed Elgendi },
publisher = {IEEE Dataport},
title = {MDPI Highly and Lowly Cited Papers},
year = {2019} }
TY - DATA
T1 - MDPI Highly and Lowly Cited Papers
AU - Mohamed Elgendi
PY - 2019
PB - IEEE Dataport
UR - 10.21227/5493-9a35
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Mohamed Elgendi. (2019). MDPI Highly and Lowly Cited Papers. IEEE Dataport. http://dx.doi.org/10.21227/5493-9a35
Mohamed Elgendi, 2019. MDPI Highly and Lowly Cited Papers. Available at: http://dx.doi.org/10.21227/5493-9a35.
Mohamed Elgendi. (2019). "MDPI Highly and Lowly Cited Papers." Web.
1. Mohamed Elgendi. MDPI Highly and Lowly Cited Papers [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/5493-9a35
Mohamed Elgendi. "MDPI Highly and Lowly Cited Papers." doi: 10.21227/5493-9a35