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Based on the reviewers' suggestion, the paper is accepted.
[# PeerJ Staff Note - this decision was reviewed and approved by Jyotismita Chaki, a PeerJ Computer Science Section Editor covering this Section #]
The author gives an explanation for my all concerns, I have no other concerns.
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All my questions were clarified.
The authors are requested to make, "major revisions".
[# PeerJ Staff Note: Please ensure that all review and editorial comments are addressed in a response letter and any edits or clarifications mentioned in the letter are also inserted into the revised manuscript where appropriate. #]
The author has done good work, Presentation is also good. There are some comments for the author?
What is the significance of this study? How you can differentiate it from literature?
You mentioned that "Moreover, an analysis was performed based on the answered questions to help make research decisions"
What kind of answered questions? are these contextual-based analyses?
is there any statistical approach to analyzing the significance of the results?
Difficult to understand the finding of the study.
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The author should mention how the twitter_score, and patent_score are given to selected AI publications. Are these scores collected from external sources?
Please include the discussion on the applicability of the proposed approach in other field research articles. For instance, computer networks, cancer research, etc.
The scalability of the proposed approach should be discussed. For example, why was the article count of 8000 selected for evaluation.
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