Abstract
PurposeThis study aims to analyze the scientific output of long noncoding RNA (lncRNA) research and construct a model to evaluate publications from the past decade qualitatively and quantitatively.MethodsPublications from 2007 to 2016 were retrieved from the Web of Science Core Collection database. Microsoft Excel 2016 and CiteSpace IV software were used to analyze publication outputs, journals, countries, institutions, authors, citation counts, ESI top papers, H-index, and research frontiers.ResultsA total of 3,008 papers on lncRNA research were identified published by June 17, 2017. The journal, Oncotarget (IF2016, 5.168) ranked first in the number of publications. China had the largest number of publications (1,843), but the United States showed its dominant position in both citation frequency (45,120) and H-index (97). Zhang Y (72 publications) published the most papers, and Guttman M (1,556 citations) had the greatest co-citation counts. The keyword “database” ranked first in research frontiers.ConclusionThe annual number of publications rapidly increased in the past decade. China showed its significant progress in lncRNA research, but the United States was the actual leading country in this field. Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted. Guttman M, Mercer TR, Rinn JL, and Gupta RA were identified as good candidates for research collaboration. “Database,” “Xist RNA,” and “Genome-wide association study” should be closely observed in this field.
Highlights
Long noncoding RNAs belong to a large class of non-protein coding transcribed RNA molecules with a length more than 200 nucleotides [1]
China showed its significant progress in long noncoding RNA (lncRNA) research, but the United States was the actual leading country in this field
Many Chinese institutions engaged in lncRNA research but significant collaborations among them were not noted
Summary
Long noncoding RNAs (lncRNAs) belong to a large class of non-protein coding transcribed RNA molecules with a length more than 200 nucleotides [1]. The length threshold is a simple but convenient biophysical cutoff that separates lncRNAs from smaller noncoding RNA species (e.g. miRNAs, siRNAs) [2, 3]. Few attempts have been made to analyze the evolution of scientific output in this field systematically. Bibliometrics is a good choice of method to analyze the literature of a scientific domain, and assess trends in research activity over time [15]
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