A Bibliometric Analysis of Deafness Gene Literature From 2009 to 2018 based on Web of Science

To find the trend and hot points of deafness gene research in the nearly 10 years, a bibliometric analysis of literature in the fields from Web of Science was performed. Python 3.7, Gephi 0.9.2, and SPSS 22.0 were used for cleaning, restructuring, and analysis. A total of 2828 article documents were collected, which were from 651 Science Citation Index Expanded journals, 93 countries/regions, 18 199 authors, and 3148 organizations. PLoS One published more papers than other journals. Among the journals that published more than 30 papers, 10 journals were included in the genetics and heredity class. The top country/region with highest number of papers was United States. However, the top author and top affiliation was Dai Pu (China) and People's Liberate Army General Hospital (China), respectively. The results of co-occurrence network, hierarchical clustering, and multidimensional scale analysis of keywords showed that 2 groups were classified. The 2 groups focused on the gene mutation of deafness and the research objects, methods, factors, and gene locus, respectively. Multidimensional scale analysis told the research character and some research details. The gene mutation and variant of family and population diseases were the hot points.