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Bibliometrics is the study of scientific research using publications as a proxy for research. Because publications are both a method of communication and a formal record of scientific findings, they can be mined in various ways to try to understand how science works. Bibliometric analysis extracts data from scientific publications and analyzes that data using statistical methods to better understand the producers, processes, and intellectual structures of scientific research. The list below includes Bibliometric classes in our course catalog. Click the title of the class to view any upcoming sessions.
This webinar will include live demonstrations of various Application Programming Interfaces (APIs) and specific use cases.
The live demonstrations of APIs will cover:
A Clarivate instructor will take a deep dive into APIs and share technical examples using APIs, as well as suggest practical methods to apply APIs within your organization.
This training on Application Programming Interfaces (APIs) from Clarivate will focus on the metrics and analytics APIs from InCites Benchmarking & Analytics and Journal Citation Reports. This session will include demonstrations on harvesting data from these products with various toolkits.
There are many different sources of citation data related to scientific publications. This introductory 1-hour class will compare data sources for bibliometric analyses, including Web of Science, Scopus, Google Scholar, and Dimensions.ai.
There are many different bibliometric analysis tools to help collect, analyze, and visualize metadata and citation data related to scientific publications. This introductory 1-hour class will introduce a toolkit of online resources for network analysis and dashboard creation and provide an overview of tools for bibliometric analysis from the NIH Office of Portfolio Analysis (OPA) and subscription tools from Clarivate.
This session will provide a demonstration on locating publications in Web of Science, analyzing the data in Web of Science and InCites to locate country-specific metrics and first/last authorship data, and visualization of data in VoSViewer.
Note: VosViewer (https://www.vosviewer.com/) is an open-source software tool that attendees can request their IT department to install on their computer prior to the class, if they would like to follow along with the demonstration.
This session will provide a demonstration on locating publications in Web of Science, analyzing the citation data in Web of Science and InCites to locate country-specific metrics, first/corresponding authorship data, and creating shareable online reports and dashboards in InCites.
This session will provide a demonstration on locating publications in Web of Science, analyzing the citation data in Web of Science and InCites to locate country-specific metrics, first/corresponding authorship data, and creating shareable online reports and dashboards in InCites.
This session will provide a demonstration on locating publications in Web of Science and creating co-authorship and keyword co-occurrence networks in VOSviewer.
Note: VOSviewer (https://www.vosviewer.com/ ) is an open-source software tool, that attendees can request their IT department to install on their computer prior to the class, if they would like to follow along with the demonstration.
Bibliometrics is the quantitative analysis of scientific publications and can provide insight into the productivity, collaboration structures, research topics, and citation impacts of publications from laboratories, institutions, and grant portfolios. This introductory 1-hour class will cover key bibliometric theories and concepts, providing an overview of different types of metrics (including alternative metrics), and a closer look at the limitations and potential misuse of bibliometrics.
Bibliometric analysis extracts data from scientific publications and analyzes that data using statistical methods to provide insight into the productivity, collaboration structures, research topics, and citation impacts of publications from laboratories, institutions, and grant portfolios.
An Application Programming Interface (API) allows two computer programs to communicate with each other. APIs should not appear to be unapproachable for the data-minded researcher. This session will provide an introduction to APIs and suggest practical methods to get started using APIs.
The instructor will walk through API use cases for Clarivate platform data calls and perform technical demonstrations using Postman API client, Python clients, and a Web of Science (WoS) API data parser/converter toolkit.
Individual authors are increasingly being asked to demonstrate the impact of their published research using various citation-based metrics like the H-Index. Although such metrics have significant limitations, when used properly they can assist in the evaluation of individual authors for promotion, tenure, and green card applications. In this class, participants will gain an understanding of how these metrics are calculated, why certain metrics like the Journal Impact Factor should not be used to evaluate an author’s work, and how to obtain appropriate citation metrics.
During this session we will introduce our services, answer basic questions, and arrange follow-up support for more complex queries.
This class will provide an overview of databases and author profile websites to help locate experts in a research field. During this session, the instructor will review how to use tools to locate authors related to a specific topic, find algorithmically generated author profiles, and how to find author-maintained profiles. The instructor will also share how to identify additional citation and publication metrics for authors using InCites, including international and industry collaborations, first and last author positions, number of publications in high-impact journals, and more.
