Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Schmidt, M.: ¬An analysis of the validity of retraction annotation in pubmed and the web of science.
  In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.318-328.
  
  Abstract: Research on scientific misconduct relies increasingly on retractions of articles. An interdisciplinary line of research has been established that empirically assesses the phenomenon of scientific misconduct using information on retractions, and thus aims to shed light on aspects of misconduct that previously were hidden. However, comparability and interpretability of studies are to a certain extent impeded by an absence of standards in corpus delineation and by the fact that the validity of this empirical data basis has never been systematically scrutinized. This article assesses the conceptual and empirical delineation of retractions against related publication types through a comparative analysis of the coverage and consistency of retraction annotation in the databases PubMed and the Web of Science (WoS), which are both commonly used for empicial studies on retractions. The searching and linking approaches of the WoS were subsequently evaluated. The results indicate that a considerable number of PubMed retracted publications and retractions are not labeled as such in the WoS or are indistinguishable from corrections, which is highly relevant for corpus and sample strategies in the WoS.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23913/full.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  Objekt: PubMed ; Web of Science
  
  
• 2
  Rotolo, D. ; Leydesdorff, L.: Matching Medline/PubMed data with Web of Science: A routine in R language.
  In: Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2155-2159.
  (Brief communications)
  
  Abstract: We present a novel routine, namely medlineR, based on the R language, that allows the user to match data from Medline/PubMed with records indexed in the ISI Web of Science (WoS) database. The matching allows exploiting the rich and controlled vocabulary of medical subject headings (MeSH) of Medline/PubMed with additional fields of WoS. The integration provides data (e.g., citation data, list of cited reference, list of the addresses of authors' host organizations, WoS subject categories) to perform a variety of scientometric analyses. This brief communication describes medlineR, the method on which it relies, and the steps the user should follow to perform the matching across the two databases. To demonstrate the differences from Leydesdorff and Opthof (Journal of the American Society for Information Science and Technology, 64(5), 1076-1080), we conclude this artcle by testing the routine on the MeSH category "Burgada syndrome."
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23385/abstract.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  Objekt: Medline ; PubMed ; Web of Science
  
  
• 3
  Li, X. ; Thelwall, M. ; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication.
  In: Aslib journal of information management. 67(2015) no.6, S.614-635.
  
  Abstract: Purpose The four major Subject Repositories (SRs), arXiv, Research Papers in Economics (RePEc), Social Science Research Network (SSRN) and PubMed Central (PMC), are all important within their disciplines but no previous study has systematically compared how often they are cited in academic publications. In response, the purpose of this paper is to report an analysis of citations to SRs from Scopus publications, 2000-2013. Design/methodology/approach Scopus searches were used to count the number of documents citing the four SRs in each year. A random sample of 384 documents citing the four SRs was then visited to investigate the nature of the citations. Findings Each SR was most cited within its own subject area but attracted substantial citations from other subject areas, suggesting that they are open to interdisciplinary uses. The proportion of documents citing each SR is continuing to increase rapidly, and the SRs all seem to attract substantial numbers of citations from more than one discipline. Research limitations/implications Scopus does not cover all publications, and most citations to documents found in the four SRs presumably cite the published version, when one exists, rather than the repository version. Practical implications SRs are continuing to grow and do not seem to be threatened by institutional repositories and so research managers should encourage their continued use within their core disciplines, including for research that aims at an audience in other disciplines. Originality/value This is the first simultaneous analysis of Scopus citations to the four most popular SRs.
  
  Inhalt: Vgl.: http://www.emeraldinsight.com/doi/abs/10.1108/AJIM-03-2015-0049.
  
  Themenfeld: Elektronisches Publizieren
  Objekt: arXiv ; Research Papers in Economics ; Social Science Research Network ; PubMed Central
  
  
• 4
  Song, M. ; Kim, S.Y. ; Zhang, G. ; Ding, Y. ; Chambers, T.: Productivity and influence in bioinformatics : a bibliometric analysis using PubMed central.
  In: Journal of the Association for Information Science and Technology. 65(2014) no.2, S.352-371.
  
  Abstract: Bioinformatics is a fast-growing field based on the optimal use of "big data" gathered in genomic, proteomics, and functional genomics research. In this paper, we conduct a comprehensive and in-depth bibliometric analysis of the field of bioinformatics by extracting citation data from PubMed Central full-text. Citation data for the period 2000 to 2011, comprising 20,869 papers with 546,245 citations, was used to evaluate the productivity and influence of this emerging field. Four measures were used to identify productivity; most productive authors, most productive countries, most productive organizations, and most popular subject terms. Research impact was analyzed based on the measures of most cited papers, most cited authors, emerging stars, and leading organizations. Results show the overall trends between the periods 2000 to 2003 and 2004 to 2007 were dissimilar, while trends between the periods 2004 to 2007 and 2008 to 2011 were similar. In addition, the field of bioinformatics has undergone a significant shift, co-evolving with other biomedical disciplines.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  
  
• 5
  Liu, W. ; Dog(an, R.I. ; Kim, S. ; Comeau, D.C. ; Kim, W. ; Yeganova, L. ; Lu, Z. ; Wilbur, W.J.: Author name disambiguation for PubMed.
  In: Journal of the Association for Information Science and Technology. 65(2014) no.4, S.765-781.
  
  Abstract: Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was employed to score the features for disambiguating a pair of papers with ambiguous names. These features enable the computation of pairwise similarity scores to estimate the probability of a pair of papers belonging to the same author, which drives an agglomerative clustering algorithm regulated by 2 factors: name compatibility and probability level. With transitivity violation correction, high precision author clustering is achieved by focusing on minimizing false-positive pairing. Disambiguation performance is evaluated with manual verification of random samples of pairs from clustering results. When compared with a state-of-the-art system, our evaluation shows that among all the pairs the lumping error rate drops from 10.1% to 2.2% for our system, while the splitting error rises from 1.8% to 7.7%. This results in an overall error rate of 9.9%, compared with 11.9% for the state-of-the-art method. Other evaluations based on gold standard data also show the increase in accuracy of our clustering. We attribute the performance improvement to the machine-learning method driven by a large-scale training set and the clustering algorithm regulated by a name compatibility scheme preferring precision. With integration of the author name disambiguation system into the PubMed search engine, the overall click-through-rate of PubMed users on author name query results improved from 34.9% to 36.9%.
  
  Objekt: PubMed
  
  
• 6
  Mirel, B. ; Tonks, J.S ; Song, J. ; Meng, F. ; Xuan, W. ; Ameziane, R.: Studying PubMed usages in the field for complex problem solving : implications for tool design.
  In: Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.874-892.
  
  Abstract: Many recent studies on MEDLINE-based information seeking have shed light on scientists' behaviors and associated tool innovations that may improve efficiency and effectiveness. Few, if any, studies, however, examine scientists' problem-solving uses of PubMed in actual contexts of work and corresponding needs for better tool support. Addressing this gap, we conducted a field study of novice scientists (14 upper-level undergraduate majors in molecular biology) as they engaged in a problem-solving activity with PubMed in a laboratory setting. Findings reveal many common stages and patterns of information seeking across users as well as variations, especially variations in cognitive search styles. Based on these findings, we suggest tool improvements that both confirm and qualify many results found in other recent studies. Our findings highlight the need to use results from context-rich studies to inform decisions in tool design about when to offer improved features to users.
  
  Wissenschaftsfach: Medizin
  Objekt: PubMed ; MEDLINE
  
  
• 7
  Rosemblat, G. ; Resnick, M.P. ; Auston, I. ; Shin, D. ; Sneiderman, C. ; Fizsman, M. ; Rindflesch, T.C.: Extending SemRep to the public health domain.
  In: Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.1963-1974.
  
  Abstract: We describe the use of a domain-independent method to extend a natural language processing (NLP) application, SemRep (Rindflesch, Fiszman, & Libbus, 2005), based on the knowledge sources afforded by the Unified Medical Language System (UMLS®; Humphreys, Lindberg, Schoolman, & Barnett, 1998) to support the area of health promotion within the public health domain. Public health professionals require good information about successful health promotion policies and programs that might be considered for application within their own communities. Our effort seeks to improve access to relevant information for the public health profession, to help those in the field remain an information-savvy workforce. Natural language processing and semantic techniques hold promise to help public health professionals navigate the growing ocean of information by organizing and structuring this knowledge into a focused public health framework paired with a user-friendly visualization application as a way to summarize results of PubMed® searches in this field of knowledge.
  
  Themenfeld: Computerlinguistik ; Wissensrepräsentation
  Wissenschaftsfach: Medizin
  Objekt: SemRep ; PubMed
  
  
• 8
  Vanopstal, K. ; Stichele, R.Vander ; Laureys, G. ; Buysschaert, J.: PubMed searches by Dutch-speaking nursing students : the impact of language and system experience.
  In: Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1538-1552.
  
  Abstract: This study analyzes the search behavior of Dutch-speaking nursing students with a nonnative knowledge of English who searched for information in MEDLINE/PubMed about a specific theme in nursing. We examine whether and to what extent their search efficiency is affected by their language skills. Our task-oriented approach focuses on three stages of the information retrieval process: need articulation, query formulation, and relevance judgment. The test participants completed a pretest questionnaire, which gave us information about their overall experience with the search system and their self-reported computer and language skills. The students were briefly introduced to the use of PubMed and MeSH (medical subject headings) before they conducted their keyword-driven subject search. We assessed the search results in terms of recall and precision, and also analyzed the search process. After the search task, a satisfaction survey and a language test were completed. We conclude that language skills have an impact on the search results. We hypothesize that language support might improve the efficiency of searches conducted by Dutch-speaking users of PubMed.
  
  Themenfeld: Informationsmittel
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  Land/Ort: NL
  
  
• 9
  Leydesdorff, L. ; Rotolo, D. ; Rafols, I.: Bibliometric perspectives on medical innovation using the medical subject headings of PubMed.
  In: Journal of the American Society for Information Science and Technology. 63(2012) no.11, S.2239-2253.
  
  Abstract: Multiple perspectives on the nonlinear processes of medical innovations can be distinguished and combined using the Medical Subject Headings (MeSH) of the MEDLINE database. Focusing on three main branches-"diseases," "drugs and chemicals," and "techniques and equipment"-we use base maps and overlay techniques to investigate the translations and interactions and thus to gain a bibliometric perspective on the dynamics of medical innovations. To this end, we first analyze the MEDLINE database, the MeSH index tree, and the various options for a static mapping from different perspectives and at different levels of aggregation. Following a specific innovation (RNA interference) over time, the notion of a trajectory which leaves a signature in the database is elaborated. Can the detailed index terms describing the dynamics of research be used to predict the diffusion dynamics of research results? Possibilities are specified for further integration between the MEDLINE database on one hand, and the Science Citation Index and Scopus (containing citation information) on the other.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  Objekt: PubMed ; MEDLINE
  Hilfsmittel: MeSH
  
  
• 10
  Kipp, M.E.I. ; Campbell, D.G.: Searching with tags : do tags help users find things?.
  In: Knowledge organization. 37(2010) no.4, S.239-255.
  
  Abstract: The question of whether tags can be useful in the process of information retrieval was examined in this pilot study. Many tags are subject related and could work well as index terms or entry vocabulary; however, folksonomies also include relationships that are traditionally not included in controlled vocabularies including affective or time and task related tags and the user name of the tagger. Participants searched a social bookmarking tool, specialising in academic articles (CiteULike), and an online journal database (Pubmed) for articles relevant to a given information request. Screen capture software was used to collect participant actions and a semi-structured interview asked them to describe their search process. Preliminary results showed that participants did use tags in their search process, as a guide to searching and as hyperlinks to potentially useful articles. However, participants also used controlled vocabularies in the journal database to locate useful search terms and links to related articles supplied by Pubmed. Additionally, participants reported using user names of taggers and group names to help select resources by relevance. The inclusion of subjective and social information from the taggers is very different from the traditional objectivity of indexing and was reported as an asset by a number of participants. This study suggests that while users value social and subjective factors when searching, they also find utility in objective factors such as subject headings. Most importantly, users are interested in the ability of systems to connect them with related articles whether via subject access or other means.
  
  Anmerkung: Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko37_2010_4_a.pdf.
  
  Themenfeld: Social tagging
  Objekt: CiteULike ; Pubmed
  
  
• 11
  Alvers, M.R.: Semantische wissensbasierte Suche in den Life Sciences am Beispiel von GoPubMed.
  In: Semantic web & linked data: Elemente zukünftiger Informationsinfrastrukturen ; 1. DGI-Konferenz ; 62. Jahrestagung der DGI ; Frankfurt am Main, 7. - 9. Oktober 2010 ; Proceedings / Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis. Hrsg.: M. Ockenfeld. Frankfurt. / M. : DGI, 2010. S.49-54.
  (Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis ; Bd. 14) (DGI-Konferenz ; 1)
  
  Abstract: Nie zuvor war der Zugriff auf Informationen so einfach und schnell wie heute. Die Suchmaschine Google ist dabei mit einem Marktanteil von 95 Prozent in Deutschland führend. Aber reicht der heutige Status Quo aus? Wir meinen nein - andere meinen ja. Die Verwendung von Stichworten für die Suche ist sehr begrenzt, nicht intelligent und der Algorithmus zum ranking der Suchergebnisse fragwürdig. Wir zeigen neue Wege der semantischen Suche mittels der Verwendung von Hintergrundwissen. Die (semi)automatische Generierung von Ontologien wird ebenfalls als zentraler Bestandteil einer universellen Wissensplattform vorgestellt und gezeigt, wie Anwender mit dieser Technologie signifikant Zeit sparen und deutlich relevantere Informationen finden.
  
  Inhalt: "Im Vortrag werden Aspekte der Suche nach Informationen und Antworten aus dem breiten Spektrum von der Suche nach einer Telefonnummer bis zur Frage nach dem "Sinn des Lebens" (deren Antwort auch im Vortrag leider nicht gegeben werden kann) angesprochen. Die Verwendung von Hintergrundwissen in Form von semantischen Begriffsnetzwerken, sogenannten Ontologien, hilft enorm, der Beantwortung von Fragen näher zu kommen. Sie garantieren Vollständigkeit der Suchergebnisse und schnelles Fokussieren auf Relevantes. Das bedeutungs-getriebene Einsortieren oder das Klassifizieren von Informationen aus Dokumenten oder von Internetinhalten, ermöglicht die Disambiguierung von Begriffen wie Salz und 01, " Cyclooxygenase Inhibitoren" - eher bekannt als Aspirin - oder das Auffinden aller Dokumente, die zum Thema CO2 - Sequestrierung gehören - also auch solcher, in den Begriff CO2 - Sequestrierung nicht direkt enthalten aber solche, die für das Thema relevant sind. Die Technologie hinter GoPubMed automatisiert schwierige Analysen, die normaler Weise von Wissenschaftlern getätigt werden. Dabei werden die notwendigen Informationen, wie sie von ausgefeilten Algorithmen ([DS05]) vorausgesagt wurden, mit einer deutlich höheren Genauigkeit bereitgestellt. Transinsights semantische Suchtechnologien wurde als erstes Beispiel der nächsten Generation der Suche entwickelt. Die Stärke liegt in der Fähigkeit, große Textkorpora (> 500 Millionen Dokumente) mit großen Ontologien (> 15 Millionen Konzepte) zu verknüpfen. In GoPubMed wird die Gene Ontology und MeSH verwendet, die zusammen mit einer Geo-Ontologie und allen Autoren ca. 15 Millionen Konzepte beinhalten.m"
  
  Themenfeld: Wissensrepräsentation
  Wissenschaftsfach: Medizin
  Objekt: GoPubMed
  
  
• 12
  Yeganova, L. ; Comeau, D.C. ; Kim, W. ; Wilbur, W.J.: How to interpret PubMed queries and why it matters.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.2, S.264-274.
  
  Abstract: A significant fraction of queries in PubMed(TM) are multiterm queries without parsing instructions. Generally, search engines interpret such queries as collections of terms, and handle them as a Boolean conjunction of these terms. However, analysis of queries in PubMed(TM) indicates that many such queries are meaningful phrases, rather than simple collections of terms. In this study, we examine whether or not it makes a difference, in terms of retrieval quality, if such queries are interpreted as a phrase or as a conjunction of query terms. And, if it does, what is the optimal way of searching with such queries. To address the question, we developed an automated retrieval evaluation method, based on machine learning techniques, that enables us to evaluate and compare various retrieval outcomes. We show that the class of records that contain all the search terms, but not the phrase, qualitatively differs from the class of records containing the phrase. We also show that the difference is systematic, depending on the proximity of query terms to each other within the record. Based on these results, one can establish the best retrieval order for the records. Our findings are consistent with studies in proximity searching.
  
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  
  
• 13
  Vibert, N. ; Ros, C. ; Bigot, L. le ; Ramond, M. ; Gatefin, J. ; Rouet, J.-F.: Effects of domain knowledge on reference search with the PubMed database : an experimental study.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1423-1447.
  
  Abstract: Many researchers in medical and life sciences commonly use the PubMed online search engine (http://www.pubmed.gov) to access the MEDLINE bibliographic database. The researchers' strategies were investigated as a function of their knowledge of the content area. Sixteen life science researchers with no experience in neuroscience and 16 neuroscience researchers of matched professional experience performed five bibliographic search tasks about neuroscience topics. Objective measures and concomitant verbal protocols were used to assess behavior and performance. Whatever their knowledge of PubMed, neuroscientists could find adequate references within the allotted time period. Despite their lack of knowledge in neuroscience, life scientists could select adequate references with the same efficiency. However, differences were observed in the way neuroscientists and life scientists proceeded. For instance, life scientists took more time to read the task instructions and opened more abstracts while selecting their answers. These data suggest that regular use of online databases combined with graduate-level expertise in a broad scientific field like biology can compensate for the absence of knowledge in the specific domain in which references are sought. The large inter-individual variability in performance within both groups implies that beyond domain knowledge, individual cognitive abilities are the main determinants of bibliographic search performance.
  
  Themenfeld: Informationsmittel
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  
  
• 14
  Lin, J. ; DiCuccio, M. ; Grigoryan, V. ; Wilbur, W.J.: Navigating information spaces : a case study of related article search in PubMed.
  In: Information processing and management. 44(2008) no.5, S.1771-1783.
  
  Abstract: The concept of an "information space" provides a powerful metaphor for guiding the design of interactive retrieval systems. We present a case study of related article search, a browsing tool designed to help users navigate the information space defined by results of the PubMed® search engine. This feature leverages content-similarity links that tie MEDLINE® citations together in a vast document network. We examine the effectiveness of related article search from two perspectives: a topological analysis of networks generated from information needs represented in the TREC 2005 genomics track and a query log analysis of real PubMed users. Together, data suggest that related article search is a useful feature and that browsing related articles has become an integral part of how users interact with PubMed.
  
  Themenfeld: Semantisches Umfeld in Indexierung u. Retrieval
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  
  
• 15
  Kipp, M.E.I.: Searching with tags : do tags help users find things?.
  In: Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis. Würzburg : Ergon Verlag, 2008. S.320-325.
  (Advances in knowledge organization; vol.11)
  
  Inhalt: This study examines the question of whether tags can be useful in the process of information retrieval. Participants were asked to search a social bookmarking tool specialising in academic articles (CiteULike) and an online journal database (Pubmed) in order to determine if users found tags were useful in their search process. The actions of each participants were captured using screen capture software and they were asked to describe their search process. The preliminary study showed that users did indeed make use of tags in their search process, as a guide to searching and as hyperlinks to potentially useful articles. However, users also made use of controlled vocabularies in the journal database.
  
  Anmerkung: Vgl. unter: http://www.ergon-verlag.de/isko_ko/tocs/0497f79b0c0b3ed06/0497f79b0c0b5550a/index.php.
  
  Themenfeld: Social tagging
  Objekt: CiteULike ; Pubmed
  
  
• 16
  Rindflesch, T.C. ; Fizsman, M.: The interaction of domain knowledge and linguistic structure in natural language processing : interpreting hypernymic propositions in biomedical text.
  In: Journal of Biomedical Informatics, 36(2003) no.6), S.462-477.
  
  Abstract: Interpretation of semantic propositions in free-text documents such as MEDLINE citations would provide valuable support for biomedical applications, and several approaches to semantic interpretation are being pursued in the biomedical informatics community. In this paper, we describe a methodology for interpreting linguistic structures that encode hypernymic propositions, in which a more specific concept is in a taxonomic relationship with a more general concept. In order to effectively process these constructions, we exploit underspecified syntactic analysis and structured domain knowledge from the Unified Medical Language System (UMLS). After introducing the syntactic processing on which our system depends, we focus on the UMLS knowledge that supports interpretation of hypernymic propositions. We first use semantic groups from the Semantic Network to ensure that the two concepts involved are compatible; hierarchical information in the Metathesaurus then determines which concept is more general and which more specific. A preliminary evaluation of a sample based on the semantic group Chemicals and Drugs provides 83% precision. An error analysis was conducted and potential solutions to the problems encountered are presented. The research discussed here serves as a paradigm for investigating the interaction between domain knowledge and linguistic structure in natural language processing, and could also make a contribution to research on automatic processing of discourse structure. Additional implications of the system we present include its integration in advanced semantic interpretation processors for biomedical text and its use for information extraction in specific domains. The approach has the potential to support a range of applications, including information retrieval and ontology engineering.
  
  Themenfeld: Computerlinguistik ; Wissensrepräsentation
  Wissenschaftsfach: Medizin
  Objekt: SemRep ; PubMed
  
  
• 17
  Hehl, H.: Ein Linksystem zur Integration von Literatursuche und Literaturbeschaffung : Medline-LINK.
  In: nfd Information - Wissenschaft und Praxis. 51(2000) H.4, S.209-216.
  
  Abstract: Die durch das WWW gegebenen Möglichkeiten, von den Suchergebnissen einer Datenbank über Hyperlinks auf elektronische Volltexte zuzugreifen, einzelne Titel online zu bestellen oder mit anderen Datenbanken oder Katalogen zu verknüpfen, werden mittlerweile von vielen Datenbankanbietern genutzt oder standardmässig angeboten. Das hier besprochene Linksystem weist dieselben Möglichkeiten auf und verbindet Suchergebnisse mit lokal verfügbaren elektronischen Zeitschriften bzw. mit Bibliotheks-Katalogen. Auch eine automatische Bestellfunktion ist vorhanden. Dieses auf Javascript basierende Linksystem verwendet ein einfaches, bisher aber noch wenig bekanntes Verfahren, bei dem jeweils die gesamte Ergebnisliste einer Datenbank (50 bis 200 Titel) in das Texteingabefeld eines Formulars eingefügt und dann weiter mit Javascript bearbeitet wird. Vorteilhaft ist die gross Anpassungsfähigkeit des Programms an die speziellen oder sogar individuellen Bedürfnisse. Medline-LINK wendet dieses Linkverfahren auf die besonders effiziente und zudem entgeltfreie Datenbank PubMed an. In dieser Testversion bilden die von der UB Regensburg abonnierten E-Zeitschriften zusätzlich eines großen Teils von elsevier-Zeitschriften den Grundbestand der zu verknüpfenden Zeitschriften. Über die dynamisch ermittelte ISSN kann die Verbindung von der Ergebnisanzeige zu den Bestandsanzeigen des BVB und GBV hergestellt werden. Die automatische Bestellfunktion wird am Beispiel des Fernleihbestellformulars der UB Regensburg demonstriert
  
  Themenfeld: Internet ; Informationsmittel
  Wissenschaftsfach: Medizin
  Objekt: Medline-LINK ; PubMed
  Land/Ort: Regensburg