Author names in bibliographic databases often suffer from ambiguity owing to the same
author appearing under different names and multiple authors possessing similar names. It …

Becoming Metric-Wise: A Bibliometric Guide for Researchers aims to inform researchers
about metrics so that they become aware of the evaluative techniques being applied to their …

It was recently reported that men self-cite> 50% more often than women across a wide
variety of disciplines in the bibliographic database JSTOR. Here, we replicate this finding in …

Background MeSH indexing is the task of assigning relevant MeSH terms based on a
manual reading of scholarly publications by human indexers. The task is highly important for …

Objective Indexing articles according to publication types (PTs) and study designs can be a
great aid to filtering literature for information retrieval, especially for evidence syntheses. In …

Neural embeddings are a popular set of methods for representing words, phrases or text as
a low dimensional vector (typically 50–500 dimensions). However, it is difficult to interpret …

초 록본 연구는 국내 문헌정보학 분야의 4 대 학술지를 대상으로 구조적토픽모델과 문헌
네트워크 분석을 사용하여연구영역을 분석하고, 각 학술지의 공통 및 특화된 연구영역을 …

Citation and citation-based metrics are traditionally used to quantify the scholarly impact of
scientific papers. However, for documents without citation data, ie, newly published papers …

In this study, we describe a keyword extraction technique that uses latent semantic analysis
(LSA) to identify semantically important single topic words or keywords. We compare our …

In the present paper, we have created and characterized several similarity metrics for
relating any two Medical Subject Headings (MeSH terms) to each other. The article-based …