Publish Be Found Or Perish: Writing Scientific Manuscripts for the Digital Age
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The Publish Or Perish Book
The Publish or Perish Book Your guide to effective and responsible citation analysis Anne-Wil Harzing Edition: September 2010 For inquiries about this book, refer to the book's web page: http://www.harzing.com/popbook.htm ISBN 978-0-9808485-0-2 (PDF) ISBN 978-0-9808485-1-9 (paperback, colour) ISBN 978-0-9808485-2-6 (paperback, black & white) © 2010 by Anne-Wil Harzing All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means (including electronic mail, photocopying, recording, or information sto- rage and retrieval) without permission in writing from the publisher. As the SOLE exception to the above if you purchased this book in its PDF edition, then you are allowed to print 1 (one) hard copy for your own use only for each licence that you pur- chased. Published by Tarma Software Research Pty Ltd, Melbourne, Australia. National Library of Australia Cataloguing-in-Publication entry: Author Harzing, Anne-Wil. Title The publish or perish book [electronic resource]: Your guide to effective and responsible citation analysis / Anne-Wil Harzing. Edition 1st ed. ISBN 9780980848502 (pdf) Notes Includes bibliographical references. Subjects Publish or perish (Computer program), Authorship, Academic writing, Scholarly publishing. Dewey Number 808.02 TABLE OF CONTENTS PREFACE .................................................................................................................................... VII CHAPTER 1: INTRODUCTION TO CITATION ANALYSIS ................................................................... -
Biomedical Text Mining: a Survey of Recent Progress
Chapter 14 BIOMEDICAL TEXT MINING: A SURVEY OF RECENT PROGRESS Matthew S. Simpson Lister Hill National Center for Biomedical Communications United States National Library of Medicine, National Institutes of Health [email protected] Dina Demner-Fushman Lister Hill National Center for Biomedical Communications United States National Library of Medicine, National Institutes of Health [email protected] Abstract The biomedical community makes extensive use of text mining tech- nology. In the past several years, enormous progress has been made in developing tools and methods, and the community has been witness to some exciting developments. Although the state of the community is regularly reviewed, the sheer volume of work related to biomedical text mining and the rapid pace in which progress continues to be made make this a worthwhile, if not necessary, endeavor. This chapter pro- vides a brief overview of the current state of text mining in the biomed- ical domain. Emphasis is placed on the resources and tools available to biomedical researchers and practitioners, as well as the major text mining tasks of interest to the community. These tasks include the recognition of explicit facts from biomedical literature, the discovery of previously unknown or implicit facts, document summarization, and question answering. For each topic, its basic challenges and methods are outlined and recent and influential work is reviewed. Keywords: Biomedical information extraction, named entity recognition, relations, events, summarization, question answering, literature-based discovery C.C. Aggarwal and C.X. Zhai (eds.), Mining Text Data, DOI 10.1007/978-1-4614-3223-4_14, 465 © Springer Science+Business Media, LLC 2012 466 MINING TEXT DATA 1. -
MEDLINE® Comprehensive Biomedical and Health Sciences Information
ValuaBLE CONTENT; HIGhly FOCUSED seaRCH capaBILITIES MEDLINE® COMPREHENSIVE BIOmedical AND health SCIENCES INFORmatiON WHAT YOU’LL FIND WHAT YOU CAN DO • Content from over 5,300 journals in • Keep abreast of vital life sciences information 30 languages, plus a select number of • Uncover relevant results in related fields relevant items from newspapers, magazines, and newsletters • Identify potential collaborators with significant citation records • Over 17 million records from publications worldwide • Discover emerging trends that help you pursue successful research and grant acquisition • Approximately 600,000 records added annually • Target high-impact journals for publishing • Links from MEDLINE records to the valuable your manuscript NCBI protein and DNA sequence databases, and to PubMed Related Articles • Integrate searching, writing, and bibliography creation into one streamlined process • Direct links to your full-text collections • Fully searchable and indexed backfiles to 1950 • Full integration with ISI Web of Knowledge content and capabilities GLOBAL COVERAGE AND SPECIALIZED INDEXING ACCESS THE MOST RECENT INFORMAtion — AS MEDLINE is the U.S. National Library of Medicine® WELL AS BACKFILES TO 1950 (NLM®) premier bibliographic database, covering Discover the most recent information by viewing biomedicine and life sciences topics vital to biomedical MEDLINE In-Process records, recently added records practitioners, educators, and researchers. You’ll find that haven’t yet been fully indexed. And track nearly 60 coverage of the full range of disciplines, such as years of vital backfile data to find the supporting — or medicine, life sciences, behavioral sciences, chemical refuting — data you need. More backfiles give you the sciences, and bioengineering, as well as nursing, power to conduct deeper, more comprehensive searches dentistry, veterinary medicine, the health care system, and track trends through time. -
Publish Or Perish
Publish or Perish Maximizing the impact of your next publication Andrew Plume, Director – Scientometrics & Market Analysis City Graduate School Welcome Event - 18th November 2013 The research life: Enable, do, share Recruit/evaluate Secure Establish Manage Develop researchers funding partnerships facilities Strategy ? Search, read, Collaborate & Experiment Analyze & review network synthesize ! Have Manage data Publish and Commercialise Promote impact disseminate 2 The research life: Publish or Perish 3 Publish or Perish: Origin 4 Publish or Perish: Evidence of published authors agree/strongly agree*: “My career depends on a history of publishing research 81% articles in peer reviewed journals” Institutional: Career advancement and funding Reasons for National: Research assessment exercises agreeing Global: Research dissemination is a goal of research Articles in peer-reviewed journals make the most At my institution, there are defined thresholds of important contribution to my career in terms of status, publications for academic promotions at least during merit pay, and marketability, vs. teaching or service. early career. Engineering & Technology, UK (36-45) Social Science, USA (36-45) If I publish well (Impact Factor, h-index) I have more Because the primary role of my job is to produce chance to get a better position and to have grants. research which is of no use if it does not get into the Medicine & Allied Health, Italy (46-55) public domain. Earth & Planetary Sciences, UK (56-65) * Survey of 3,090 published authors in November 2012 -
Information-Seeking Behavior in Complementary and Alternative Medicine (CAM): an Online Survey of Faculty at a Health Sciences Campus*
Information-seeking behavior in complementary and alternative medicine (CAM): an online survey of faculty at a health sciences campus* By David J. Owen, M.L.S., Ph.D. [email protected] Education Coordinator, Basic Sciences Min-Lin E. Fang, M.L.I.S. [email protected] Information Services Librarian Kalmanovitz Library and Center for Knowledge Management University of California, San Francisco San Francisco, California 94143-0840 Background: The amount of reliable information available for complementary and alternative medicine (CAM) is limited, and few authoritative resources are available. Objective: The objective is to investigate the information-seeking behavior of health professionals seeking CAM information. Methods: Data were gathered using a Web-based questionnaire made available to health sciences faculty af®liated with the University of California, San Francisco. Results: The areas of greatest interest were herbal medicine (67%), relaxation exercises (53%), and acupuncture (52%). About half the respondents perceived their CAM searches as being only partially successful. Eighty-two percent rated MEDLINE as a useful resource, 46% personal contacts with colleagues, 46% the Web, 40% journals, and 20% textbooks. Books and databases most frequently cited as useful had information about herbs. The largest group of respondents was in internal medicine (26%), though 15% identi®ed their specialties as psychiatry, psychology, behavioral medicine, or addiction medicine. There was no correlation between specialty and patterns of information- seeking behavior. Sixty-six percent expressed an interest in learning more about CAM resources. Conclusions: Health professionals are frequently unable to locate the CAM information they need, and the majority have little knowledge of existing CAM resources, relying instead on MEDLINE. -
Exploring Biomedical Records Through Text Mining-Driven Complex Data Visualisation
medRxiv preprint doi: https://doi.org/10.1101/2021.03.27.21250248; this version posted March 29, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Exploring biomedical records through text mining-driven complex data visualisation Joao Pita Costa Luka Stopar Luis Rei Institute Jozef Stefan Institute Jozef Stefan Institute Jozef Stefan Ljubljana, Slovenia Ljubljana, Slovenia Ljubljana, Slovenia [email protected] [email protected] [email protected] Besher Massri Marko Grobelnik Institute Jozef Stefan Institute Jozef Stefan Ljubljana, Slovenia Ljubljana, Slovenia [email protected] [email protected] ABSTRACT learning technologies that have been entering the health domain The recent events in health call for the prioritization of insightful at a slow and cautious pace. The emergencies caused by the recent and meaningful information retrieval from the fastly growing pool pandemics and the need to act fast and accurate were a motivation of biomedical knowledge. This information has its own challenges to fast forward some of the modernization of public health and both in the data itself and in its appropriate representation, enhanc- healthcare information systems. Though, the amount of available ing its usability by health professionals. In this paper we present information and its heterogeneity creates obstacles in its usage in a framework leveraging the MEDLINE dataset and its controlled meaningful ways. vocabulary, the MeSH Headings, to annotate and explore health- related documents. The MEDijs system ingests and automatically annotates text documents, extending their legacy metadata with MeSH Headings. -
1 Application of Text Mining to Biomedical Knowledge Extraction: Analyzing Clinical Narratives and Medical Literature
Amy Neustein, S. Sagar Imambi, Mário Rodrigues, António Teixeira and Liliana Ferreira 1 Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature Abstract: One of the tools that can aid researchers and clinicians in coping with the surfeit of biomedical information is text mining. In this chapter, we explore how text mining is used to perform biomedical knowledge extraction. By describing its main phases, we show how text mining can be used to obtain relevant information from vast online databases of health science literature and patients’ electronic health records. In so doing, we describe the workings of the four phases of biomedical knowledge extraction using text mining (text gathering, text preprocessing, text analysis, and presentation) entailed in retrieval of the sought information with a high accuracy rate. The chapter also includes an in depth analysis of the differences between clinical text found in electronic health records and biomedical text found in online journals, books, and conference papers, as well as a presentation of various text mining tools that have been developed in both university and commercial settings. 1.1 Introduction The corpus of biomedical information is growing very rapidly. New and useful results appear every day in research publications, from journal articles to book chapters to workshop and conference proceedings. Many of these publications are available online through journal citation databases such as Medline – a subset of the PubMed interface that enables access to Medline publications – which is among the largest and most well-known online databases for indexing profes- sional literature. Such databases and their associated search engines contain important research work in the biological and medical domain, including recent findings pertaining to diseases, symptoms, and medications. -
Google Scholar: the Democratization of Citation Analysis?
Google Scholar: the democratization of citation analysis? Anne-Wil Harzing Ron van der Wal Version November 2007 Accepted for Ethics in Science and Environmental Politics Copyright © 2007 Anne-Wil Harzing and Ron van der Wal. All rights reserved. Dr. Anne-Wil Harzing Email: [email protected] University of Melbourne Web: www.harzing.com Department of Management Faculty of Economics & Commerce Parkville Campus Melbourne, VIC 3010 Australia Google Scholar: the democratization of citation analysis? Anne-Wil Harzing* 1, Ron van der Wal2 1 Department of Management, University of Melbourne, Parkville Campus, Parkville, Victoria 3010, Australia * Email: [email protected] 2 Tarma Software Research, GPO Box 4063, Melbourne, Victoria 3001 Australia Running head: citation analysis with Google Scholar Key words: Google Scholar, citation analysis, publish or perish, h-index, g-index, journal impact factor Abstract Traditionally, the most commonly used source of bibliometric data is Thomson ISI Web of Knowledge, in particular the (Social) Science Citation Index and the Journal Citation Reports (JCR), which provide the yearly Journal Impact Factors (JIF). This paper presents an alternative source of data (Google Scholar, GS) as well as three alternatives to the JIF to assess journal impact (the h-index, g-index and the number of citations per paper). Because of its broader range of data sources, the use of GS generally results in more comprehensive citation coverage in the area of Management and International Business. The use of GS particularly benefits academics publishing in sources that are not (well) covered in ISI. Among these are: books, conference papers, non-US journals, and in general journals in the field of Strategy and International Business. -
Fall-2020-Print-Axia
INSIDE THIS SPECIAL FALL 2020 Contents EDITION OF ACS AXIAL axial.acs.org deeper ACS PUBLICATIONS SHANGHAITECH UNIVERSITY NEW ENVIRONMENTAL SCIENCE & WHAT CHEMISTS NEED LAUNCHESdive NEW JOURNALS PARTNERS WITH ACS PUBLICATIONS TO TECHNOLOGY JOURNALS TO KNOW ABOUT Explore the ResearchFOCUSED behind ON theFOOD 2020 AND Journal Citation Reports® LAUNCH ACCOUNTS OF MATERIALS NAME EDITORS AND MACHINE LEARNING AGRICULTURAL CHEMISTRY RESEARCH OPEN FOR SUBMISSIONS The 2020 Journal Citation Reports® (JCR) show the vital role ACS Publications journals play in publishing important, highly cited research. Thanks to the dedication and brilliance of our authors and reviewers, 89% of ACS journals have an Impact Factor greater than 3 this year. Browse this year’s JCR figures, which are based on citations from 2018 to 2019: EXPLORE THE RESEARCH HOW ACS IS SUPPORTING THE LEARN HOW ACS SUPPORTS SCIMEETINGS: PRESENT YOUR RESEARCH BEHIND THE 2020 JOURNAL CHEMISTRY COMMUNITY DURING THE OPEN SCIENCE BEYOND THE ACS FALL 2020 VIRTUAL CITATION REPORTS® COVID-19 PANDEMIC MEETING & EXPO Impact Factor 20.832 Impact Factor 4.473 Impact Factor Impact Factor 4.152 8.758 Impact Factor Impact Factor 4.486 Impact Factor 12.685 12.350 Impact Factor 4.434 Impact Factor Impact Factor 3.381 19.003 Impact Factor 3.418 Impact Factor Impact Factor 3.975 Impact Factor 4.614 6.042 Impact Factor Impact Factor Impact Factor 7.333 14.588 6.864 Impact Factor 2.870 Impact Factor Impact Factor 6.785 4.411 Impact Factor 7.632 Impact Factor 6.092 Impact Factor 2.865 Impact Factor 4.031 pubs.acs.org/acsagscitech ACS PUBLICATIONS LAUNCHES NEW JOURNALS FOCUSED ON FOOD AND AGRICULTURAL CHEMISTRY ournal of Agricultural and Food Chemistry Technical University of Munich and the chair of is growing into a family of journals with the Food Chemistry and Molecular Sensors. -
Marnix Medema Curriculum Vitae
Page 1 of 10 Curriculum vitae Personal Information FIRST NAME / SURNAME Marnix Medema ADDRESS (PRIVATE) Soetendaalseweg 16A, 6721XB Bennekom, NL ADDRESS (WORK) Droevendaalsesteeg 1, 6708PB Wageningen, NL TEL +31317484706 / +31654758321 (cell) EMAIL [email protected] WEB http://www.marnixmedema.nl NATIONALITY Dutch DATE OF BIRTH 24.01.1986 GENDER Male Work Experience & Education DATES March 2015 - present EMPLOYER Wageningen University, Wageningen, The Netherlands POSITION Assistant Professor DATES August 2013 - February 2015 EMPLOYER MPI for Marine Microbiology, Bremen, Germany POSITION Postdoctoral Researcher DATES September 2010 - March 2011 EMPLOYER University of California, San Francisco, USA POSITION Visiting Research Scholar DATES September 2009 - August 2013 EMPLOYER University of Groningen, The Netherlands POSITION PhD Student DATE / DISTINCTION 27.09.2013, cum laude ** DATES September 2006 - August 2008 QUALIFICATION AWARDED Master of Science Biomolecular Science, cum laude ** INSTITUTION University of Groningen, The Netherlands DATES September 2003 - August 2006 QUALIFICATION AWARDED Bachelor of Science Biology, cum laude ** INSTITUTION Radboud University Nijmegen, The Netherlands ** In the Netherlands, only two classes of honors are used: eervolle vermelding ("honorable mention") and cum laude, typically only to mark exceptional achievement. [...] Generally, less than 20% receive the "honorable mention" distinction, and "cum laude" is even harder to attain (less than 1%-5% depending on the university and study program). -
Biochemical and Biophysical Research Communications
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Audience p.1 • Impact Factor p.2 • Abstracting and Indexing p.2 • Editorial Board p.2 • Guide for Authors p.4 ISSN: 0006-291X DESCRIPTION . BBRC -- the fastest submission-to-online journal! From Submission to Online in Less Than 3 Weeks! Biochemical and Biophysical Research Communications is the premier international journal devoted to the very rapid dissemination of timely and significant experimental results in diverse fields of biological research. The development of the "Breakthroughs and Views" section brings the minireview format to the journal, and issues often contain collections of special interest manuscripts. BBRC is published weekly (52 issues/year). Research Areas now include: • Biochemistry • Bioinformatics • Biophysics • Cancer Research • Cell Biology • Developmental Biology • Immunology • Molecular Biology • Neurobiology • Plant Biology • Proteomics Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center AUDIENCE . Biochemists, bioinformaticians, biophysicists, immunologists, cancer researchers, stem cell scientists and neurobiologists. AUTHOR INFORMATION PACK 24 Sep 2021 www.elsevier.com/locate/ybbrc -
Document Clustering of Medline Abstracts for Concept Discovery in Molecular Biology
Pacific Symposium on Biocomputing 6:384-395 (2001) TEXTQUEST: DOCUMENT CLUSTERING OF MEDLINE ABSTRACTS FOR CONCEPT DISCOVERY IN MOLECULAR BIOLOGY I. ILIOPOULOS, A. J. ENRIGHT, C. A. OUZOUNIS Computational Genomics Group, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge CB10 1SD, UK {ioannis, anton, christos}@ebi.ac.uk We present an algorithm for large-scale document clustering of biological text, obtained from Medline abstracts. The algorithm is based on statistical treatment of terms, stemming, the idea of a ‘go-list’, unsupervised machine learning and graph layout optimization. The method is flexible and robust, controlled by a small number of parameter values. Experiments show that the resulting document clusters are meaningful as assessed by cluster-specific terms. Despite the statistical nature of the approach, with minimal semantic analysis, the terms provide a shallow description of the document corpus and support concept discovery. 1. Introduction The vast accumulation of electronically available textual information has raised new challenges for information retrieval technology. The problem of content analysis was first introduced in the late 60’s [1]. Since then, a number of approaches have emerged in order to exploit free-text information from a variety of sources [2, 3]. In the fields of Biology and Medicine, abstracts are collected and maintained in Medline, a project supported by the U.S. National Library of Medicine (NLM)1. Medline constitutes a valuable resource that allows scientists to retrieve articles of interest, based on keyword searches. This query-based information retrieval is extremely useful but it only allows a limited exploitation of the knowledge available in biological abstracts.