Comparing keywords plus of WOS and author keywords: A case study of patient adherence research

By Juan Zhang, Qi Yu, Fashan Zheng, C. Long, Zuxun Lu, Z. Duan. J. Assoc. Inf. Sci. Technol., 2016

643 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/88787d5036f7f00335c6c3882189774e60cd046a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Marina Dabic
2. Massimiliano Matteo Pellegrini
3. S. Pizzi
4. Tommaso Colussi
5. Andrea Caputo

Citations in the corpus

• Digitalization and business models: Where are we going? A science map of the field (2021, background): “Previous studies have considered Keyword Plus to be as effective as the keywords provided by the authors in terms of bibliometric analysis when investigating the knowledge structure of scientific fields (Zhang et al., 2016).”
• Social Ties in Academia: A Friend Is a Treasure (2017, background): “This algorithm assigns to each article a set of keywords generated by text-mining articles’ abstract, title, and cited references (Zhang et al., 2016).”