Journal of Informetrics
Papers 984
1 page of 99 pages (984 results)
Abstract In multiplex networks, each layer may represent different interactions or the same interaction over different time periods. Presently all centralities method may fail to detect the change among different layers (totally M layers). As the minimum unit of a multiplex network is duplex network (M = 2), we can clarify layer difference via duplex network. In a duplex network, the layer similarity LSim is defined for measuring similarity between layers, via node similarity of two layers, and ...
Abstract The current study has two objectives. First, we explore the characteristics of biological entities, such as drugs, and their side effects using an author–entity pair bipartite network. Second, we use the constructed network to examine whether there are outstanding features of relations between drugs and side effects. We extracted drug and side effect names from 169,766 PubMed abstracts published between 2010 to 2014 and constructed author–entity pair bipartite networks after ambiguous a...
Abstract A utility patent application may result in two citable documents: a published patent application (PPA) and a patent if the application is granted. Most analytic works consider only citations to the patent and ignore those to the PPA. This study gathers more than 270,000 U.S. utility patents granted in 2014 and their PPAs, and compares their citation counts up to 2018. Statistics show that citations to patents, on the average, account for less than 50 % of those to the patents and their ...
Abstract This study proposes a method for measuring the discriminative capacity of journals to evaluate and analyze differences in research content among academic journals. A total of 100 Chinese academic journals from five disciplines are selected as research objects. The discriminative capacities of journals in the library, information, and archival science in 2017 and 2013–2017 are calculated and analyzed using bibliographic data (titles, abstracts, and keywords). The characteristics of the d...
Abstract The h α index was recently proposed by Hirsch (2019) to measure the degree of scientific leadership. However, as discussed in recent literature, this measure has important shortcomings. We introduce an alternative approach that does not suffer from these limitations. It uses self-citations as a source of information, makes the evaluation at the paper-level, and centers the analysis on the new and broader concept of scientific influence. In each specific paper, the level of scientific in...
Abstract The Journal Impact Factor (JIF) is linearly sensitive to self-citations because each self-citation adds to the numerator, whereas the denominator is not affected. Pinski and Narin (1976) Influence Weights (IW) are not or marginally sensitive to these outliers on the main diagonal of a citation matrix and thus provide an alternative to JIFs. Whereas the JIFs are based on raw citation counts normalized by the number of publications in the previous two years, IWs are based on the eigenvect...
Abstract The formulation of national research policies would benefit greatly from reliable strategic analysis of the scientific infrastructure, aimed at identifying the relevant strengths and weaknesses at field level. Bibliometric methodologies thus far proposed in the literature are not completely satisfactory. This work proposes a novel “output-to-input-oriented” approach, which permits identification of research strengths and weaknesses on the basis of the ratios of top scientists and highly...
Abstract Emerging research topic detection can benefit the research foundations and policy-makers. With the long-term and recent interest in detecting emerging research topics, various approaches are proposed in the literature. Though, there is still a lack of well-established linkages between the clear conceptual definition of emerging research topics and the proposed indicators for operationalization. This work follows the definition by Wang (2018) , and several machine learning models are tog...
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Abstract Main path analysis is a popular method for extracting the backbone of scientific evolution from a (paper) citation network. The first and core step of main path analysis, called search path counting, is to weight citation arcs by the number of scientific influence paths from old to new papers. Search path counting shows high potential in scientific impact evaluation due to its semantic similarity to the meaning of scientific impact indicator, i.e. how many papers are influenced to what ...
Abstract Bibliographically coupled patents reveal a temporal pattern associated with their ages (how long ago they have been issued) and spans (their distance in time). The coupling strength of the aged or long-spanned patent pairs may be inherently limited, especially for fields that reveal patent and reference expansions. This study proposes a simple measure, combined relevance (CR), to counter such impact. Unlike traditional measures, CR provides more balanced treatment to short- and long-spa...
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