Textpresso for Neuroscience: Searching the Full Text of Thousands of Neuroscience Research Papers

Textpresso is a text-mining system for scientific literature. Its two major features are access to the full text of research papers and the development and use of categories of biological concepts as well as categories that describe or relate objects. A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. Here we describe Textpresso for Neuroscience, part of the core Neuroscience Information Framework (NIF). The Textpresso site currently consists of 67,500 full text papers and 131,300 abstracts. We show that using categories in literature can make a pure keyword query more refined and meaningful. We also show how semantic queries can be formulated with categories only. We explain the build and content of the database and describe the main features of the web pages and the advanced search options. We also give detailed illustrations of the web service developed to provide programmatic access to Textpresso. This web service is used by the NIF interface to access Textpresso. The standalone website of Textpresso for Neuroscience can be accessed at http://www.textpresso.org/neuroscience

A Bibliometrics Portrait of Chinese Research through the Lens of China Economic Review. A research proposal.

Notwithstanding, in the last two decades, there has been a noticeable increase in published work on the research field of Chinese economy. There are few studies, which analyze the evolution of Chinese economics research, and the weight of international economics within it, by resorting to objective methods, namely bibliometrics. Giving our focus on Chinese economics related research, we select to base our empirical analysis on the “seed journal” China Economic Review (CER), which is the most important economic journal especially concerned with the issues of Chinese economy. We classify and assess all the (522) articles that were published in CER from its genesis (1989) up to December 2010. We construct three main databases: the first database as bibliographic database that contains the more than 500 articles published in CER, where we classify articles by themes (such as Macroeconomics, Microeconomics and International Economics) and types(such as formal vs. empirical); the second database includes the references of those 500 articles, which we denominate ‘roots of Chinese economics research’; and the third database, the ‘influence of Chinese economics research’, where we have all the studies that cited (more than 3000 references) the 500 articles published in CER. By undertaking an exploratory statistical analysis on the three databases - bibliographic database, ‘roots’ database and ‘influence’ database, we are able to assess three main group of issues: 1) the importance, within Chinese economics of the topic ‘international economic’; the types of research that are pursued in the period of analysis (formal vs empirical); and the most prolific authors in the area; 2) the ‘roots’ of Chinese economics, that is, who and which outlets are influencing most Chinese economics research; 3) the scope of influence of Chinese economics literature.Evolution of research, Economics, Bibliometrics, China Economic Review

A single journal study : Malaysian Journal of Computer Science

Single journal studies are reviewed and measures used in the studies are highlighted. The following quantitative measures are used to study 272 articles published in Malaysian Journal of Computer Science, (1) the article productivity of the journal from 1985 to 2007, (2) the observed and expected authorship productivity tested using Lotka's Law of author productivity, identification and listing of core authors; (3) the authorship, co-authorship pattern by authors' country of origin and institutional affiliations; (4) the subject areas of research; (5) the citation analysis of resources referenced as well as the age and half-life of citations; the journals referenced and tested for zonal distribution using Bradford's law of journal scattering; the extent of web citations; and (6) the citations received by articles published in MJCS and impact factor of the journal based on information obtained from Google Scholar, the level of author and journal self-citation

The Matter of Entrepreneurial Learning: A Literature Review

This paper is a comprehensive review of the entrepreneurial learning literature and its engagement with the material aspects of entrepreneurship, as part of the “material turn” in the social sciences. Drawing on actor-network theory, we construct a classificatory scheme and an evaluative matrix to find that this field is dominated by an anthropocentric bias and cognitivist approaches which largely ignore issues of materiality in entrepreneurship. However we also identify some heterogeneous network-based conceptualisations of entrepreneurial learning which could provide the foundations for more materially aware approaches. We conclude by calling for a material turn in entrepreneurial learning and outline some possible avenues for it

Simulation in manufacturing and business: A review

Copyright @ 2009 Elsevier B.V.This paper reports the results of a review of simulation applications published within peer-reviewed literature between 1997 and 2006 to provide an up-to-date picture of the role of simulation techniques within manufacturing and business. The review is characterised by three factors: wide coverage, broad scope of the simulation techniques, and a focus on real-world applications. A structured methodology was followed to narrow down the search from around 20,000 papers to 281. Results include interesting trends and patterns. For instance, although discrete event simulation is the most popular technique, it has lower stakeholder engagement than other techniques, such as system dynamics or gaming. This is highly correlated with modelling lead time and purpose. Considering application areas, modelling is mostly used in scheduling. Finally, this review shows an increasing interest in hybrid modelling as an approach to cope with complex enterprise-wide systems

Absorptive Capacity: Antecedents, Models and Outcomes

This chapter focuses on the gap between the speed of proliferation of theoretical and empirical contributions and the speed of accumulation of the acquired scientific knowledge regarding absorptive capacity. To contribute to narrowing this gap, we will in particular review the conceptual developments of the absorptive capacity construct. Based on the seminal contributions of Cohen & Levinthal (1989, 1990) we will provide a brief overview of the various conceptual attributes of this construct, like the definition, antecedents and consequences, and levels of analysis involved. Next, we will assess the refinements, extensions and reconceptualizations of this construct in the literature. Furthermore, from the perspective of viewing models as mediating instruments between theory and empirical phenomena (Morgan and Morrison, 1999), we will analyze efforts to build conceptual models. Finally, we will address the progress made, select key problems and we will formulate future research directions to improve the multilevel and transdisciplinary characteristics of absorptive capacity.innovation;absorptive capacity;knowledge

A Content Analysis Based Review on the Application of Document Similarity Measures on E-resource Retrieval in Agriculture and Allied fields

From observations made by Robson (1993) who states that “the success of data collection should be assessed in relation to the specific research question”, it is felt necessary to study the aim as well as the fact that the most suitable unit of analysis will be sufficiently large to be considered as a whole but small enough to be referred as a relevant meaning unit during the analysis process (Graneheim & Lundman, 2004). Based on these criteria, the researcher tries to investigate that the study is carried out in the right direction which rest upon the credibility and essentiality of a content analysis of the literature accumulated for review. Purpose: To measure the significance of literature reviews and the effectiveness of content analysis as analytic tool for the present research theme “Document Similarity Measures on e-resource Retrieval in agriculture and allied fields”. Content analysis is expected to enhance systematic literature reviews of various inductively derived sub-fields of Information Retrieval implemented for accessing information and data in Agriculture and allied fields. Methodology: The present study is based on content analysis on reviews of 59 selected articles published between 1951 and 2020 that are retrieved after screening through the PRISMA software. Almost all related subtopics of Information Retrieval have been explored in the literature review compiled for the research topic. The analysis of the data is simultaneously supported with the data visualization by the application of the Tableau Desktop Public software. Findings: Each document is assessed based on the contents of the documents collected for the study viz. year of publication, name of journals, number of authors , name of authors, research area, methodology , number of references cited in each paper, country to which author(s) belong. Collaborative research mostly conducted by authors with specialization in computer science and data science is seen. Documents compiled for the present study comprised mostly of comparative studies among the different Information Retrieval Models. Also it has been judged in several documents the effectiveness of Vector Space Model over the other IR models simultaneously verifying that content analysis is an imperative tool to identify whether the literature review conducted so far is progressing in the appropriate direction. Research Limitations: The major limitation is the limited number of documents retrieved and considered for the content analysis thereby customizing them for empirical analysis and assessing the significance of the literature reviews in order to identify the variations in the various research studies. Conclusion: The analysis, software used and findings derived is aimed at facilitating the Information Retrieval researchers with the idea of conducting literature reviews through content analysis approach

Usage Bibliometrics

Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.Comment: Publisher's PDF (by permission). Publisher web site: books.infotoday.com/asist/arist44.shtm