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A Comparison of Researcher's Reference Management Software
Journal of Economics and Behavioral Studies Vol. 6, No. 7, pp. 561-568, July 2014 (ISSN: 2220-6140) A Comparison of Researcher’s Reference Management Software: Refworks, Mendeley, and EndNote Sujit Kumar Basak Durban University of Technology, South Africa [email protected] Abstract: This paper aimed to present a comparison of researcher’s reference management software such as RefWorks, Mendeley, and EndNote. This aim was achieved by comparing three software. The main results of this paper were concluded by comparing three software based on the experiment. The novelty of this paper is the comparison of researcher’s reference management software and it has showed that Mendeley reference management software can import more data from the Google Scholar for researchers. This finding could help to know researchers to use the reference management software. Keywords: Reference management software, comparison and researchers 1. Introduction Reference management software maintains a database to references and creates bibliographies and the reference lists for the written works. It makes easy to read and to record the elements for the reference comprises such as the author’s name, year of publication, and the title of an article, etc. (Reiss & Reiss, 2002). Reference Management Software is usually used by researchers, technologists, scientists, and authors, etc. to keep their records and utilize the bibliographic citations; hence it is one of the most complicated aspects among researchers. Formatting references as a matter of fact depends on a variety of citation styles which have been made the citation manager very essential for researchers at all levels (Gilmour & Cobus-Kuo, 2011). Reference management software is popularly known as bibliographic software, citation management software or personal bibliographic file managers (Nashelsky & Earley, 1991). -
Migration Guide
Migration Guide How to migrate from other reference management tools to Mendeley One benefit of Mendeley is that it can import references from other reference management tools. For step-by-step instructions, select the tool you’re currently using: RefWorks to Mendeley EndNote to Mendeley Papers to Mendeley Zotero to Mendeley How to migrate from RefWorks to Mendeley 1. Log in to your RefWorks account 2. At the top left, select References > Export 3. Under ‘References to include’ select either: a. ‘All References’ to move all references in one folder, or, b. To preserve your RefWorks folder structure while migrating to Mendeley, select each folder individually. Tip: Open the folder you want to migrate first, and then click ‘Export’ 4. Under ‘Export format’ select ‘Bibliographic Software (EndNote, Reference Manager, or ProCite)’ 5. Click ‘Export’ 3 6. A new window or tab will open in your web browser, displaying your references. Go to the file menu and select ‘File > Save as (or Save Page As, depending on your browser).’ Save the file as a Plain Text file (TXT). Note: if you do not receive a download prompt, look for the ‘Completed’ box and click the ‘click here’ link a. ‘All References’ to move all references in one folder or, b. To preserve your RefWorks folder structure while migrating to Mendeley, select each folder individually. Tip: Open the folder you want to migrate first, and then click on ‘Export’ 7. Enter a filename in the ‘File Name’ box 8. Click ‘Save’ 9. Close out of RefWorks and open Mendeley Desktop 10. Click ‘Add Files’ and select ‘Add Files’ 11. -
Altmetric.Com and Plumx
This is a preprint of an article published in Scientometrics. The final authenticated version is available online at: https://doi.org/10.1007/s11192-021-03941-y A large-scale comparison of coverage and mentions captured by the two altmetric aggregators- Altmetric.com and PlumX Mousumi Karmakara, Sumit Kumar Banshalb, Vivek Kumar Singha,1 1Department of Computer Science, Banaras Hindu University, Varanasi-221005, India 2Department of Computer Science, South Asian University, New Delhi-110021, India. Abstract: The increased social media attention to scholarly articles has resulted in creation of platforms & services to track the social media transactions around them. Altmetric.com and PlumX are two such popular altmetric aggregators. Scholarly articles get mentions in different social platforms (such as Twitter, Blog, Facebook) and academic social networks (such as Mendeley, Academia and ResearchGate). The aggregators track activity and events in social media and academic social networks and provide the coverage and transaction data to researchers for various purposes. Some previous studies have compared different altmetric aggregators and found differences in the coverage and mentions captured by them. This paper attempts to revisit the question by doing a large-scale analysis of altmetric mentions captured by the two aggregators, for a set 1,785,149 publication records from Web of Science. Results obtained show that PlumX tracks more altmetric sources and captures altmetric events for a larger number of articles as compared to Altmetric.com. However, the coverage and average mentions of the two aggregators, for the same set of articles, vary across different platforms, with Altmetric.com recording higher mentions in Twitter and Blog, and PlumX recording higher mentions in Facebook and Mendeley. -
(Bachelor, Master, Or Phd) and Which Software Tools to Use How to Write A
2.6.2016 How to write a thesis (Bachelor, Master, or PhD) and which software tools to use SciPlore Home Projects Publications About & Contact How to write a thesis (Bachelor, Master, or PhD) and Home / HOW TOs, sciplore mindmapping / which software tools to use How to write a thesis (Bachelor, Master, or PhD) and which software tools to use Previous Next How to write a thesis (Bachelor, Master, or PhD) and which software tools to use Available translations: Chinese (thanks to Chen Feng) | Portuguese (thanks to Marcelo Cruz dos Santos) | Russian (thanks to Sergey Loy) send us your translation Writing a thesis is a complex task. You need to nd related literature, take notes, draft the thesis, and eventually write the nal document and create the bibliography. Many books explain how to perform a literature survey and how to write scholarly literature in general and a thesis in particular (e.g. [1-9]). However, these books barely, if at all, cover software tools that help in performing these tasks. This is surprising, because great software tools that can facilitate the daily work of students and researchers are available and many of them for free. In this tutorial, we present a new method to reviewing scholarly literature and drafting a thesis using mind mapping software, PDF readers, and reference managers. This tutorial focuses on writing a PhD thesis. However, the presented methods are likewise applicable to planning and writing a bachelor thesis or master thesis. This tutorial is special, because it integrates the management of PDF les, the relevant content in PDFs (bookmarks), and references with mind mapping and word processing software. -
Studies and Analysis of Reference Management Software: a Literature Review
Studies and analysis of reference management software: a literature review Jesús Tramullas Ana Sánchez-Casabón {jesus,asanchez}@unizar.es Dept .of Library & Information Science, University of Zaragoza Piedad Garrido-Picazo [email protected] Dept. of Computer and Software Engineering, University of Zaragoza Abstract: Reference management software is a well-known tool for scientific research work. Since the 1980s, it has been the subject of reviews and evaluations in library and information science literature. This paper presents a systematic review of published studies that evaluate reference management software with a comparative approach. The objective is to identify the types, models, and evaluation criteria that authors have adopted, in order to determine whether the methods used provide adequate methodological rigor and useful contributions to the field of study. Keywords: reference management software, evaluation methods, bibliography. 1. Introduction and background Reference management software has been a useful tool for researchers since the 1980s. In those early years, tools were made ad-hoc, and some were based on the dBase II/III database management system (Bertrand and Bader, 1980; Kunin, 1985). In a short period of time a market was created and commercial products were developed to provide support to this type of information resources. The need of researchers to systematize scientific literature in both group and personal contexts, and to integrate mechanisms into scientific production environments in order to facilitate and expedite the process of writing and publishing research results, requires that these types of applications receive almost constant attention in specialized library and information science literature. The result of this interest is reflected, in bibliographical terms, in the publication of numerous articles almost exclusively devoted to describing, analyzing, and comparing the characteristics of several reference management software products (Norman, 2010). -
Studying Social Tagging and Folksonomy: a Review and Framework
Studying Social Tagging and Folksonomy: A Review and Framework Item Type Journal Article (On-line/Unpaginated) Authors Trant, Jennifer Citation Studying Social Tagging and Folksonomy: A Review and Framework 2009-01, 10(1) Journal of Digital Information Journal Journal of Digital Information Download date 02/10/2021 03:25:18 Link to Item http://hdl.handle.net/10150/105375 Trant, Jennifer (2009) Studying Social Tagging and Folksonomy: A Review and Framework. Journal of Digital Information 10(1). Studying Social Tagging and Folksonomy: A Review and Framework J. Trant, University of Toronto / Archives & Museum Informatics 158 Lee Ave, Toronto, ON Canada M4E 2P3 jtrant [at] archimuse.com Abstract This paper reviews research into social tagging and folksonomy (as reflected in about 180 sources published through December 2007). Methods of researching the contribution of social tagging and folksonomy are described, and outstanding research questions are presented. This is a new area of research, where theoretical perspectives and relevant research methods are only now being defined. This paper provides a framework for the study of folksonomy, tagging and social tagging systems. Three broad approaches are identified, focusing first, on the folksonomy itself (and the role of tags in indexing and retrieval); secondly, on tagging (and the behaviour of users); and thirdly, on the nature of social tagging systems (as socio-technical frameworks). Keywords: Social tagging, folksonomy, tagging, literature review, research review 1. Introduction User-generated keywords – tags – have been suggested as a lightweight way of enhancing descriptions of on-line information resources, and improving their access through broader indexing. “Social Tagging” refers to the practice of publicly labeling or categorizing resources in a shared, on-line environment. -
Centre for Mathematical Biology's
CMB Group Meeting October 8th, 2012 Centre for Mathematical Biology's https://www.maths.ox.ac.uk/groups/mathematical-biology/internal/tips Ornella Google Drive 5 free GB storage • easy access instant access to • collaboration • equations editor • forms, polls and surveys • translation • simultaneous work on docs • used Docs instead of email • version control • safe storage • tracking • work offline • allow editing without signing in Ornella Organisation • Date and number your pages or use a notebook • Write in meetings / write up meetings • Use referencing software • Bibtex • Mendeley / Refworks / Citeulike / Referencer • Keep track of the research skills things you've done • Keep a record of ideas you have about future directions • Backup your work! The university / maths institute has good back-up systems • Write up work as you go • Throw away work that is wrong Louise Computing • Scratch drive / networked scratch drives (/mi/share/scratch) • Subversioning (RabbitSVN is installed on the MI computers) • Dropbox (check the terms of use!) • Call your files sensible things • In Matlab: • Ask around if you're trying to do something - often people will know how! • Use sensible names for your variables • Comment your code • Mex functions • You can ssh into the MI computers (http://www.maths.ox.ac.uk/help/remote-access) • See http://www.maths.ox.ac.uk/help for useful computing info • LaTeX / Beamer Louise Extras • Conferences • Study Groups • Teaching / TAing • Bionumbers • SMB / ESMTB can give conference money if you join • Socials Louise -
What Makes a Good Reference Manager? A
1 What Makes A Good Reference Manager? 2 Quantitative Analysis of Bibliography Management Applications 3 4 5 ∗ 6 ANONYMOUS AUTHOR(S) 7 Reference managers have been widely used by researchers and students. While previous performed qualitative analysis for reference 8 managers, it is unclear how to asses these tools quantitatively. In this paper, we attempted to quantify the physical and mental effort to 9 10 use a reference manager. Specifically, we use a keystroke and mouse move logger, RUI, to record and analyze the user’s activities and 11 approximate the physical and mental effort. We also use pre- and post-study surveys to keep track of the participant’s preferences and 12 experiences with reference managers, and also their self-reported task load (NASA TLX Index.) In this pilot work, we first collected 69 13 pre-study surveys from graduate students to understand their experience with reference managers, and then conducted user study 14 with 12 voluntary participants. Four common reference managers, Mendeley, Zotero, EndNote, and RefWorks, were included in our 15 study. The results show, for the same task, different software might require different levels of effort, and users generally preferthe 16 tools that require less effort. We also observe that although these reference managers share similar features, the differences intheir 17 18 presentation and organization matter. Factors such as pricing, cloud sync and accuracy of bibliography generation also influence the 19 preference of users. We conclude this work by providing a set of guidelines for users and developers. 20 CCS Concepts: • Human-centered computing ! Usability testing; Activity centered design. -
What Makes a Good Reference Manager? Quantitative Analysis of Bibliography Management Applications
What Makes A Good Reference Manager? Quantitative Analysis of Bibliography Management Applications TONGAN CAI∗, CHACHA CHEN∗, TING-HAO (KENNETH) HUANG, and FRANK E. RITTER, College of Information Sciences and Technology, Pennsylvania State University, USA Many researchers and students use reference managers to collect, manage, and format references and citations. While prior work has assessed these tools qualitatively, it is still unclear how to quantitatively evaluate reference managers. This paper starts to quantify the user effort required to use reference managers. We first collected surveys from 69 graduate students to understand their experience with reference managers, and then conducted user studies with 12 participants. In our study, each participant was asked to perform a standardized task using four popular reference managers: Mendeley, Zotero, EndNote, and RefWorks. We used RUI, a keystroke and mouse-move logger, to record the participants’ activities and approximate their physical and mental effort. We also used pre- and post-study surveys to collect users’ feedback and self-reported task load (as expressed by the NASA TLX Index.) The results showed that different reference managers require different levels of effort, and users generally prefer the tools that involve less effort. Wealso found that although reference managers share similar features, differences in presentation and organization matter. We conclude this work by providing a set of guidelines for both users and developers of reference managers. CCS Concepts: • Human-centered computing ! Usability testing; Activity centered design. Additional Key Words and Phrases: reference managers, task analysis, keystroke, mouse click, mental effort, physical effort ACM Reference Format: Tongan Cai, Chacha Chen, Ting-Hao (Kenneth) Huang, and Frank E. -
Mendeley Reader Counts for US Computer Science Conference
1 Mendeley Reader Counts for US Computer Science Conference Papers and Journal articles1 Mike Thelwall, Statistical Cybermetrics Research Group, University of Wolverhampton, UK. Although bibliometrics are normally applied to journal articles when used to support research evaluations, conference papers are at least as important in fast-moving computing- related fields. It is therefore important to assess the relative advantages of citations and altmetrics for computing conference papers to make an informed decision about which, if any, to use. This paper compares Scopus citations with Mendeley reader counts for conference papers and journal articles that were published between 1996 and 2018 in 11 computing fields and had at least one US author. The data showed high correlations between Scopus citation counts and Mendeley reader counts in all fields and most years, but with few Mendeley readers for older conference papers and few Scopus citations for new conference papers and journal articles. The results therefore suggest that Mendeley reader counts have a substantial advantage over citation counts for recently-published conference papers due to their greater speed, but are unsuitable for older conference papers. Keywords: Altmetrics; Mendeley; Scientometrics; Computer Science; Computing; Conference papers 1 Introduction Altmetrics, social media indicators for the impact of academic research derived from the web (Priem, Taraborelli, Groth, & Neylon, 2010), are now widely available to help assess academic outputs. Altmetric.com, for example, collects a range of data about online mentions of academic documents, supplying it to journal publishers to display in article pages, to institutions to help them analyse their work and to researchers to track the impact of their publications (Adie & Roe, 2013; Liu & Adie, 2013). -
What's in Extras
What’s In Extras 2021/09/20 1 The Extras Folder The Extras folder contains several sub-folders with: • duplicates of several GUI programs installed by the MacTEX installer for those who already have a TEX distribution; • alternates to the GUI applications installed by the MacTEX installer; and • additional software that aE T Xer might find useful. The following sub-sections describe the software contained within them. Table (1), on the next page, contains a complete list of the enclosed software, versions, supported macOS versions, licenses and URLs. Note: for 2020 MacTEX supports High Sierra, Mojave and Catalina although some software also supports earlier versions of macOS. Earlier versions of applications are no longer supplied in the Extras folder but you may find them at the supplied URL. 1.1 Bibliography Bibliography programs for building and maintaining BibTEX databases. 1.2 Browsers A program to browse symbols used with LATEX. 1.3 Editors & Front Ends Alternative Editors, Typesetters and Previewers for TEX. These range from “WYSIWYM (What You See Is What You Mean)” to a Programmer’s Editor with strong LATEX support. 1.4 Equation Editors These allow the user to create beautiful equations, etc., that may be exported for use in other appli- cations; e.g., editors, illustration and presentation software. 1.5 Previewers Separate DVI and PDF previewers for use as external viewers with other editors. 1.6 Scripts Files to integrate some external programmer’s editors with the TEX system. 1.7 Spell Checkers Alternate TEX, LATEX and ConTEXt aware spell checkers. 1.8 Utilities Utilities for managing your MacTEX distribution. -
How to Effortlessly Write a High Quality Scientific Paper in the Field Of
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/339630885 How to effortlessly write a high quality scientific paper in the field of computational engineering and sciences Preprint · March 2020 DOI: 10.13140/RG.2.2.13467.62241 CITATIONS READS 0 7,560 3 authors: Vinh Phu Nguyen Stéphane Pierre Alain Bordas Monash University (Australia) University of Luxembourg 114 PUBLICATIONS 3,710 CITATIONS 376 PUBLICATIONS 12,311 CITATIONS SEE PROFILE SEE PROFILE Alban de Vaucorbeil Deakin University 24 PUBLICATIONS 338 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Computational modelling of crack propagation in solids View project Isogeometric analysis View project All content following this page was uploaded by Vinh Phu Nguyen on 03 March 2020. The user has requested enhancement of the downloaded file. How to effortlessly write a high quality scientific paper in the field of computational engineering and sciences a, b c Vinh Phu Nguyen , Stephane Bordas , Alban de Vaucorbeil aDepartment of Civil Engineering, Monash University, Clayton 3800, VIC, Australia bInstitute of Computational Engineering, University of Luxembourg, Faculty of Sciences Communication and Technology, Luxembourg cInstitute for Frontier Materials, Deakin University, Geelong, VIC, 3216, Australia Abstract Starting with a working good research idea, this paper outlines a scientific writing process that helps us to have a nearly complete paper when the last analysis task is finished. The key ideas of this process are: (1) writing should start early in the research project, (2) research and writing are carried out simultaneously, (3) best tools for writing should be used.