Being active in social media, like in Twitter and Blogs, is one way to reach a larger audience and to enhance a researcher’s impact. Other researchers will learn about their findings through these additional channels and in addition the public, policy makers, and the press. The toolkit shows several ways of how to get in touch with other researchers and discuss findings at an early stage in research networks, conferences, and in social media. It presents open tools for co-writing, online meetings, reference- and project management.

Created as a supplement for the Impact Measurement collection of the ScholarlyCommunication Notebook (SCN) to describe some of the core literature in the field as well asresources that cannot be included on the SCN, because they are not openly licensed but arefree to read.This annotated bibliography is separated into three sections: Peer reviewed scholarly articles,Blog posts, initiatives, and guides, and Resources for further education and professionaldevelopment. The first section is intended to help practitioners in the field of researchassessment and bibliometrics to understand high-level core concepts in the field. The secondsection offers resources that are more applicable to practice. The final section includes links toblogs, communities, discussion lists, paid and free educational courses, and archivedconferences, so that practitioners and professionals can stay abreast of emerging trends,improve their skills, and find community. Most of these resources could not be included on theScholarly Communication Notebook, because they are not openly licensed. However, allresources on this bibliography are freely available to access and read.

Get an overview of journal-level bibliometrics such as Journal Impact Factor, CiteScore, Eigenfactor Score, and others. Find out how they are calculated and where they can be found! Recommended for faculty, graduate students, post-doctorates, or anyone interested in scholarly publications.

For a self-graded quiz and Certificate of Completion, go to https://bit.ly/scs-quiz1

More information about journal-level metrics: https://https://bit.ly/scs-impact-find

The programme aims to equip learners with the skills and knowledge required to engage in the use of a range of metrics around research impact and gain understanding of the research landscape. This is a flexible programme – you can do as much or as little as suits you. While some Things are interlinked, each of the Things is designed to be completed separately, in any order and at any level of complexity. Choose your own adventure!

There are three levels for each Thing:

Getting started is for you if you are just beginning to learn about each topic
Learn more is if you know a bit but want to know more
Challenge me is often more in-depth or assumes that you are familiar with at least the basics of each topic

What does it mean to have meaningful metrics in today’s complex higher education landscape? With a foreword by Heather Piwowar and Jason Priem, this highly engaging and activity-laden book serves to introduce readers to the fast-paced world of research metrics from the unique perspective of academic librarians and LIS practitioners. Starting with the essential histories of bibliometrics and altmetrics, and continuing with in-depth descriptions of the core tools and emerging issues at stake in the future of both fields, Meaningful Metrics is a convenient all-in-one resource that is designed to be used by a range of readers, from those with little to no background on the subject to those looking to become movers and shakers in the current scholarly metrics movement. Authors Borchardt and Roemer, offer tips, tricks, and real-world examples illustrate how librarians can support the successful adoption of research metrics, whether in their institutions or across academia as a whole.

This resource links to the full course (all 13 weeks of modules) on the Internet Archive. The video lectures for the courses are also available on YouTube at https://www.youtube.com/watch?v=maRP_Wvc4eY&list=PLWYwQdaelu4en5MZ0bbg-rSpcfb64O_rd

This series was designed and taught by Chris Belter, Ya-Ling Lu, and Candace Norton at the NIH Library. It was originally presented in weekly installments to NIH Library staff from January-May 2019 and adapted for web viewing later the same year.

The goal of the series is to provide free, on-demand training on how we do bibliometrics for research evaluation. Although demand for bibliometric indicators and analyses in research evaluation is growing, broadly available and easily accessible, training on how to provide those analyses is scarce. We have been providing bibliometric services for years, and we wanted to share our experience with others to facilitate the broader adoption of accurate and responsible bibliometric practice in research assessment. We hope this series acts as a springboard for others to get started with bibliometrics so that they feel more comfortable moving beyond this series on their own.

Navigating the Series
The training series consists of 13 individual courses, organized into 7 thematic areas. Links to each course in the series are provided on the left. Each course includes a training video with audio transcription, supplemental reading to reinforce the concepts introduced in the course, and optional practice exercises.

We recommend that the courses be viewed in the order in which they are listed. The courses are listed in the same order as the analyses that we typically perform to produce one of our standard reports. Many of the courses also build on concepts introduced in previous courses, and may be difficult to understand if viewed out of order. We also recommend that the series be taken over the course of 13 consecutive weeks, viewing one course per week. A lot is covered in these courses, so it is a good idea to take your time with them to make sure you understand each course before moving on to the next. We also recommend you try to complete the practice exercises that accompany many of the courses, because the best way to learn bibliometrics is by doing it.

This module dwells on a number of methods (including old and new) available for research evaluation. The module comprises the following four units:
Unit 1. Introduction to Research Evaluation Metrics and Related Indicators.
Unit 2. Innovations in Measuring Science and Scholarship: Analytical Tools and Indicators in Evaluation Scholarship Communications.
Unit 3. Article and Author Level Measurements, and
Unit 4. Online Citation and Reference Management Tools.
Brief overviews of the units are presented below.
Unit 1 encompassed and discussed citation analysis, use of citation-based indicators for research evaluation, common bibliometric indicators, classical bibliometric laws, author level indicators using authors' public profiles, article level metrics using altmetric tools. It is to be noted that author level indicators and article level metrics are new tools for research evaluation. Author level indicators encompasses h index, citations count, i10 index, g index, articles with citation, average citations per article, Eigenfactor score, impact points, and RG score. Article level metrics or altmetrics are based on Twitter, Facebook, Mendeley, CiteULike, and Delicious which have been discussed. All technical terms used in the Unit have been defined.
Unit 2 deals with analytical tools and indicators used in evaluating scholarly communications. The tools covered are The Web of Science, Scopus, Indian Citation Index (ICI), CiteSeerX, Google Scholar and Google Scholar Citations. Among these all the tools except Indian Citation Index (ICI) are international in scope. ICI is not very much known outside India. It is a powerful tool as far Indian scholarly literature is concerned. As Indian journals publish a sizable amount of foreign literature, the tool will be useful for foreign countries as well. The analytical products with journal performance metrics Journal Citation Reports (JCR®) has also been described. In the chapter titled New Platforms for Evaluating Scholarly Communications three websites i.e. SCImago Journal & Country Rank (SJR) [ScimagoJR.com], eigenFACTOR.org, JournalMetrics.com and one software called Publish or Perish (POP) Software have been discussed.
Article and author level measurements have been discussed in Unit 3. Author and researcher identifiers are absolutely essential for searching databases in the WWW because a name like D Singh can harbour a number of names such as Dan Singh, Dhan Singh, Dhyan Singh, Darbara Singh, Daulat Singh, Durlabh Singh and more. The ResearcherID.com, launched by Thomson Reuters, is a web-based global registry of authors and researchers that individualises each and every name. Open Researcher and Contributor ID (ORCID) is also a registry that uniquely identifies an author or researcher. Both have been discussed in this Unit. Article Level Metrics (Altmetrics) has been treated in this Unit with the discussion as to how altmetrics can be measured with Altmetric.com and ImpactStory.org. Altmetrics for Online Journals has also been touched. There are a number of academic social networks of which ResearchGate.net, Academia.edu, GetCited.org, etc. have been discussed. Regional journal networks with bibliometric indicators are also in existence. Two networks of this type such as SciELO – Scientific Electronic Library Online, and Redalyc have been dealt with.
The last unit (Unit 4) is on online citation and reference management tools. The tools discussed are Mendeley, CiteULike, Zotero, Google Scholar Library, and EndNote Basic. The features of all the management tools have been discussed with figures, tables, and text boxes.
This is Module Four of the UNESCO's Open Access Curriculum for Researchers.
Full-Text is available at http://unesdoc.unesco.org/images/0023/002322/232210E.pdf

These research metric source cards provide the citation for a scholarly work and the research metrics of that work, which can include: the Altmetric Attention Score, the scholarly citation counts from different data sources, and field-weighted citation indicators; in addition, abstracts and important context to some of the metrics is also included, e.g., citation statements, titles of select online mentions, such as news and blog article titles, Wikipedia pages, patent citations, and the context behind those online mentions. There are four printable source cards (front and back) followed by activity questions for each source card. These cards help students engage in and interrogate the meaning behind bibliometrics and altmetrics of specific scholarly works as well as evaluate the credibility, authority, and reliability of the scholarly work itself.

This case study is retrieved from the open book Open Data as Open Educational Resources. Case studies of emerging practice.

Course description:

Metrics and measurement are important strategic tools for understanding the world around us. To take advantage of the possibilities they offer, however, one needs the ability to gather, work with, and analyse datasets, both big and small. This is why metrics and measurement feature in the seminar course Technology and Evolving Forms of Publishing, and why data analysis was a project option for the Technology Project course in Simon Fraser University’s Master of Publishing Program.

The assignment:

“Data Analysis with Google Refine and APIs": Pick a dataset and an API of your choice (Twitter, VPL, Biblioshare, CrossRef, etc.) and combine them using Google Refine. Clean and manipulate your data for analysis. The complexity/messiness of your data will be taken into account”.

Book chapter from the book, "Teaching About Fake News: Lesson Plans for Different Disciplines and Audiences."

Abstract: In the digital age of information, undergraduate students often have a difficult time identifying and differentiating among online sources, such as news articles, blog posts, and academic articles. Students generally find these sources online and often struggle to vet them for consistency, context, quality, and validity. In this chapter, we present a new purpose for altmetrics in which librarians teach undergraduates to use altmetrics as a tool to evaluate and differentiate between online mainstream and scholarly sources, which can lead to a deeper understanding of the research process and the engagement and discussion surrounding research as well as an increased ability to evaluate sources more critically. On a more advanced level, students will be able to analyze different levels of inaccuracy and misrepresentation of research from mainstream sources and more accurately identify highly sensationalized research topics from mainstream sources, seminal works of research, and deliberately misleading information and/or fake news.

This guide focuses specifically on data from the data provider and company, Altmetric, but other types of altmetrics are mentioned and occasionally used as a comparison in this guide, such as the Open Syllabus database to find the educational engagement with scholarly outputs. This guide opens with an introduction followed by an overview of Altmetric and the Altmetric Attention Score, Altmetrics and Responsible Research Assessment, Output Types Tracked by Altmetric, and the Altmetric Sources of Attention, which include: News and Mainstream Media, Social Media (X (formerly Twitter), Facebook, Reddit, and historical data from Google+, Pinterest, LinkedIn, and Sina Weibo); Patents, Peer Review, Syllabi (historical data only), Multimedia, Public Policy Documents, Wikipedia, Research Highlights, Reference Managers, and Blogs; finally, there is a conclusion, a list of related resources and readings, two appendices, and references. This guide is intended for use by librarians, practitioners, funders, and other users of Altmetric data or those who are interested in incorporating altmetrics into their bibliometric practice and/or research analytics. It can also help researchers who are going up for annual evaluations and promotion and tenure reviews, who can use the data in informed and practical applications. It can also be a useful reference guide for research managers and university administrators who want to understand the broader online engagement with research publications beyond traditional scholarly citations, also known as bibliometrics, but who also want to avoid misusing, misinterpreting, or abusing Altmetric data when making decisions, creating policies, and evaluating faculty members and researchers at their institutions.

Presentation from a University of York Library workshop on bibliometrics. The session covers how published research outputs are measured at the article, author and journal level; with discussion of the limitations of a bibliometric approach.