DOCSLIB.ORG

MEDLINE® Comprehensive Biomedical and Health Sciences Information

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
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. and the preclinical sciences, as well as other relevant topics such as environmental science, marine biology, plant and animal sciences, biophysics, and chemistry. Specialized indexing allows you to drill down to specific topics using a variety of search options, including natural language terms, MeSH Terms, and CAS registry numbers. MEDLINE specialized indexing ISI Web of Knowledge homepage Take advantage of MeSH headings and other Search MEDLINE and other content specialized fields to find precisely the data you need. simultaneously for a unified, complete search. SCIENTIFIC MEDLINE THE ISI WEB OF KNOWLEDGE advantaGE Only through ISI Web of Knowledge are you able to access MEDLINE with the added value of citation data and navigation, as well as the ability to simultaneously search content in a variety of other comprehensive research databases such as Web of Science. One common vocabulary within the ISI Web of Knowledge platform enables your search terms to be matched to all relevant terms that may be categorized differently in other databases, delivering more complete and relevant results. ENDNOTE® WEB Create bibliographies on the go with EndNote Web, fully integrated into ISI Web of Knowledge and freely available to any user. With EndNote Web, you can easily access and organize your references online as you search ISI Web of Knowledge, PubMed® and hundreds of library OPACs directly. You can send references to EndNote Web as you search, share EndNote Web folders with others, store references online between search sessions and transfer your files to EndNote on the Analyze Tool desktop for further management. Gain insight into research trends; identify leading researchers, institutions, and journals. ANALYZE TOOL Find hidden trends and patterns, gain insight into emerging fields of research, identify leading researchers, institutions, and journals, and trace the history of a particular field of study. You can analyze results by author, publication year, journal subject category, institution, language or source title, and view a numerical, percentage and graphical representation of the analysis. ALERTING AND RSS FEEDS Keep up to date with the information that matters to you. Save searches as email alerts and set up RSS feeds for saved searches. EndNote Web Build a bibliography as you search, and format your papers instantly. FIND OUT MORE ABOUT MEDLINE To learn more, visit isiwebofknowledge.com or contact the office nearest you. Scientific Head Offices Americas Philadelphia +1 800 336 4474 +1 215 386 0100 Europe, Middle East and Africa London +44 20 7433 4000 Asia Pacific Singapore +65 6411 6888 Tokyo +81 3 5218 6500 For a complete office list visit: scientific.thomsonreuters.com/contact thomsonreuters.com AG 08 8078-01 C FS Copyright ©2008 Thomson Reuters .
Load more

Recommended publications
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • Medline Vs Embase
    MEDLINE VS EMBASE Prior to starting a search, it is essential to choose the most appropriate database. The principal sources used to search topics related to biomedicine and health Medline and Embase. What are their characteristics? Medline Embase1 Focus Biomedicine and health Broad biomedical scope with in-depth coverage of drugs and pharmacology Produced by US National Library of Medicine Elsevier Access Available free of charge via PubMed OR Through institutional subscription via Ovid. Through institutional subscription via Ovid. Available via MUHC libraries portal Available via MUHC libraries portal muhclibraries.ca > Quick Links section muhclibraries.ca > Quick Links section Content Journal articles, mostly from peer-reviewed Journal articles, mostly from peer-reviewed journals journals + conference abstracts since 2009 # of records Over 30 million Over 32 million, including all Medline records Including 26 million indexed for Medline (i.e. 6 million are unique to Embase) # of journals 5,244 indexed for Medline Almost 8,500, including Medline unique journals (i.e. more than 2900 journals unique to Embase) 1 https://www.elsevier.com/solutions/embase-biomedical-research/embase-coverage-and-content The searcher should also be familiar with differences in the establishment of subject headings in each database. These differences impact the way we search and the results. Medline MeSH Embase Emtree2 # of terms 29,351 Over 75,000 (of which more than 32,000 are drugs and chemicals) # of 83 78 (of which 64 are drug subheadings subheadings including routes of drug administration) Synonyms 681,5053 320,000 Thesaurus Annually 3 times per year update Drug terms are included when they become Drug terms are included early in the drug established development process # of terms per 10-20 3-4 major terms, and up to 50 minor terms.4 article Medline-derived articles are not indexed with Emtree terms.
    [Show full text]
  • Health Sciences Librarians' Engagement in Open Science: A
    Health sciences librarians’ engagement in open science: A scoping review Project Team: Dean Giustini Kevin Read Ariel Deardorff Lisa Federer Melissa Rethlefsen MLA Annual Conference, May 2021 Health sciences librarians’ engagement in open science: A scoping review Objectives: To identify health sciences librarians’ (HSLs) engagement in open science (OS) through the delivery of library services, support, and programs for researchers. Methods: We performed a scoping review guided by Arksey and O’Malley’s (2005) framework and Joanna Briggs’ Manual for scoping reviews. Our search methods consisted of searching five databases (MEDLINE, Embase, CINAHL, LISTA, and Web of Science Core Collection), tracking citations, contacting experts, and targeted web searching. We used Zotero to manage citations, and Covidence for screening. To determine study eligibility, we applied predetermined inclusion and exclusion criteria, achieving consensus among reviewers when there was disagreement. Finally, we extracted data in duplicate and performed qualitative analysis to map key themes. Results & discussion HSL Open Science Scoping Review / Giustini, Read, Deardorff, Federer, Rethlefsen / MLA ‘21 Health sciences librarians’ engagement in open science: A scoping review Results: We identified 54 included studies (after reviewing 8173 citations / 319 full text studies). Research methods included descriptive or narrative approaches (76%), surveys, questionnaires and interviews (15%) or mixed methods (9%). Using FOSTER’s Open Science Taxonomy, we labeled studies using six themes: open access (54%), open data (43%), open science (24%), and open education, open source and citizen science (17%). Key drivers in OS were scientific integrity and transparency, openness as a guiding principle, and funder mandates making research openly-accessible. HSLs engaged in OS advocacy and most examples came from academic institutions.
    [Show full text]
  • How Genes Work
    Help Me Understand Genetics How Genes Work Reprinted from MedlinePlus Genetics U.S. National Library of Medicine National Institutes of Health Department of Health & Human Services Table of Contents 1 What are proteins and what do they do? 1 2 How do genes direct the production of proteins? 5 3 Can genes be turned on and off in cells? 7 4 What is epigenetics? 8 5 How do cells divide? 10 6 How do genes control the growth and division of cells? 12 7 How do geneticists indicate the location of a gene? 16 Reprinted from MedlinePlus Genetics (https://medlineplus.gov/genetics/) i How Genes Work 1 What are proteins and what do they do? Proteins are large, complex molecules that play many critical roles in the body. They do most of the work in cells and are required for the structure, function, and regulation of thebody’s tissues and organs. Proteins are made up of hundreds or thousands of smaller units called amino acids, which are attached to one another in long chains. There are 20 different types of amino acids that can be combined to make a protein. The sequence of amino acids determineseach protein’s unique 3-dimensional structure and its specific function. Aminoacids are coded by combinations of three DNA building blocks (nucleotides), determined by the sequence of genes. Proteins can be described according to their large range of functions in the body, listed inalphabetical order: Antibody. Antibodies bind to specific foreign particles, such as viruses and bacteria, to help protect the body. Example: Immunoglobulin G (IgG) (Figure 1) Enzyme.
    [Show full text]
  • 2017 Catalog 2017 Catalog
    2017CATALOG ABOUT ACS AMERICAN CHEMICAL SOCIETY With more than 157,000 members, the American Chemical Society (ACS) Table of Contents>>> is the world’s largest scientific society and one of the world’s leading sources of authoritative scientific information. A nonprofit organization chartered by Congress, ACS is at the forefront of the evolving About ACS Publications ................................................................................. 3 worldwide chemical enterprise and the premier professional home for chemists, chemical Editorial Excellence for 138 years ..............................................................................................................4 What Fuels ACS Publications’ Growth ......................................................................................................6 engineers, and related professionals around the globe. ACS Publications’ Unsurpassed Performance .........................................................................................8 ACS Publications’ Impact on Chemistry ................................................................................................ 10 Select Highlights from ACS Journals ...................................................................................................... 12 An Inspiring Online Platform ................................................................................................................... 14 ACS on Campus ..........................................................................................................................................
    [Show full text]
  • MICROBIOLOGY, Faculty of Medicine, Institute of Medical Sciences A
    FORMAT FOR SUBJECTWISE IDENTIFYING JOURNALS BY THE UNIVERSITIES AND APPROVAL OF THE UGC {Under Clause 6.05 (1) of the University Grants Commission (Minimum Qualifications for appointment of Teacher and Other Academic Staff in Universities and Colleges and Measures for the Maintenance of Standards in Higher Education (4th Amendment), Regulations, 2016} Subject: MICROBIOLOGY, Faculty of Medicine, Institute of Medical Sciences A. Refereed Journals Sl. Name of the Journal Publisher and Year of Hard e-publication ISSN Number Peer / Indexing status. Impact Do you use Any other No. place of Start copies (Yes/No) Refree If indexed, Factor/Rating. any Information publication published Reviewed Name of the Name of the IF exclusion (Yes/No) (Yes/No) indexing data assigning agency. criteria for base Whether covered Research by Thompson & Journals Reuter (Yes/No) 1 2 3 4 5 6 7 8 9 10 11 1 J MOL MICROB BIOTECH, Journal of Basel ; New York : Karger, 1999 Yes e-ISSN: 1660- 1464-1801 Yes Index medicus: 1.701 /Thomson molecular microbiology and biotechnology Switzerland 2412 v1n1,Aug. 1999-; Reuter- Y MEDLINE: v1n1; Aug. 1999-PubMed: v1n1,Aug. 1999- 2 LETT APPL MICROBIOL, Letters in applied Oxford, UK : Published for 1985 Yes Online ISSN: 0266-8254 Yes Index medicus: 1.579/ N microbiology the Society for Applied 1472-765X v26n4,Apr. 1998-; Bacteriology by Blackwell MEDLINE: v26n4,Apr. Scientific Publications, 1998-; PubMed: England v26n4,Apr. 1998- 3 MED MICROBIOL IMMUN, Medical Berlin, New York, 1971 Yes 1432-1831 0300-8584 Yes Index medicus: v157n1, 2.302/ N microbiology and immunology Springer-Verlag, (Electronic) 1971-; MEDLINE: GERMANY v157n1, 1971-; PubMed: v157n1, 1971- 4 METHOD MICROBIOL, Methods in Troy Mo : Academic 1969 Yes 0580-9517 Yes microbiology Press, UNITED STATES 5 MICROB DRUG RESIST, Microbial drug Larchmont, N.Y.
    [Show full text]
  • Generations of Success Unitex Laundry Operations Draw on a Tradition of Multigenerational Leadership
    THREADSInnovation for healthcare textiles & EVS 2020: ISSUE 11 Generations of success Unitex laundry operations draw on a tradition of multigenerational leadership Designing with The next generation Reduce risk in the behavioral health of hand hygiene operating room + in mind compliance environment Submit your nomination, today. Each month the Works of Heart program honors a nominated healthcare worker who goes above and beyond the call—no matter the disease state, day or care setting. One overall winner will serve as an inspiration for a Medline doll in 2021. Get the latest updates and follow the conversation on social at #WorksOfHeart. Medline Industries, Inc. | Three Lakes Drive, Northfield, IL 60093 | 1-800-MEDLINE (633-5463) © 2020 Medline Industries, Inc. Medline is a registered trademarks of Medline Industries, Inc. MKT19W707755 / 23 welcome Business done family style Family is important to us at Medline. The stories we share in Threads magazine As a family-owned business, we have a help us grow as a company, and we hope deep respect and appreciation for both they help you too. In this issue, you’ll find the benefits and challenges of working stories about translating today’s industry with family. Whether born out of a challenges into positive advancements in passion for the industry, or as a means technology, engaging and educating to earn a living, a successful family multigenerational teams to ensure business requires the ability and consistency, and what running a successful willingness to listen and learn — across family business means to others the generations. throughout the industry. Hannah Zielinski While those who built our business have We’d love for the next issue of Threads to a wealth of knowledge and experience, feature your stories.
    [Show full text]