Scientometric analysis and knowledge mapping of literature-based discovery (1986-2020)

06/15/2020
by   Andrej Kastrin, et al.
0

Literature-based discovery (LBD) aims to discover valuable latent relationships between disparate sets of literatures. This paper presents the first inclusive scientometric overview of LBD research. We utilize a comprehensive scientometric approach incorporating CiteSpace to systematically analyze the literature on LBD from the last four decades (1986-2020). After manual cleaning, we have retrieved a total of 409 documents from six bibliographic databases and two preprint servers. The 35 years' history of LBD could be partitioned into three phases according to the published papers per year: incubation (1986-2003), developing (2004-2008), and mature phase (2009-2020). The annual production of publications follows Price's law. The co-authorship network exhibits many subnetworks, indicating that LBD research is composed of many small and medium-sized groups with little collaboration among them. Science mapping reveals that mainstream research in LBD has shifted from baseline co-occurrence approaches to semantic-based methods at the beginning of the new millennium. In the last decade, we can observe the leaning of LBD towards modern network science ideas. In an applied sense, the LBD is increasingly used in predicting adverse drug reactions and drug repurposing. Besides theoretical considerations, the researchers have put a lot of effort into the development of Web-based LBD applications. Nowadays, LBD is becoming increasingly interdisciplinary and involves methods from information science, scientometrics, and machine learning. Unfortunately, LBD is mainly limited to the biomedical domain. The cascading citation expansion announces deep learning and explainable artificial intelligence as emerging topics in LBD. The results indicate that LBD is still growing and evolving.

READ FULL TEXT
research
04/11/2023

Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases

This paper presents a bibliometric analysis of the scientific literature...
research
02/16/2023

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability

The integration of Artificial Intelligence (AI) into the field of drug d...
research
08/02/2017

Emerging Topics in Internet Technology: A Complex Networks Approach

Communication networks, in general, and internet technology, in particul...
research
03/29/2020

A bibliometric analysis of research based on the Roy Adaptation Model: a contribution to Nursing

Objective. To perform a modern bibliometric analysis of the research bas...
research
07/18/2023

Investigating drug translational research using PubMed articles

Drug research and development are embracing translational research for i...
research
04/25/2022

Mapping Research Trajectories

Steadily growing amounts of information, such as annually published scie...
research
02/27/2022

A Bibliometric Horizon Scanning Methodology for Identifying Emerging Topics in the Scientific Literature

A bibliometric methodology for scanning for emerging science and technol...

Please sign up or login with your details

Forgot password? Click here to reset