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1.
Using EndNote version 7.0, the authors tested the search capabilities of the EndNote search engine for retrieving citations from MEDLINE for importation into EndNote, a citation management software package. Ovid MEDLINE and PubMed were selected for the comparison. Several searches were performed on Ovid MEDLINE and PubMed using EndNote as the search engine, and the same searches were run on both Ovid and PubMed directly. Findings indicate that it is preferable to search MEDLINE directly rather than using EndNote. The publishers of EndNote do warn its users about the limitations of their product as a search engine when searching external databases. In this article, the limitations of EndNote as a search engine for searching MEDLINE were explored as related to MeSH, non-MeSH, citation verification, and author searching.  相似文献   

2.
When searching for health information, results quality can be judged against available scientific evidence: Do search engines return advice consistent with evidence based medicine? We compared the performance of domain-specific health and depression search engines against a general-purpose engine (Google) on both relevance of results and quality of advice. Over 101 queries, to which the term ‘depression’ was added if not already present, Google returned more relevant results than those of the domain-specific engines. However, over the 50 treatment-related queries, Google returned 70 pages recommending for or against a well studied treatment, of which 19 strongly disagreed with the scientific evidence. A domain-specific index of 4 sites selected by domain experts was only wrong in 5 of 50 recommendations. Analysis suggests a tension between relevance and quality. Indexing more pages can give a greater number of relevant results, but selective inclusion can give better quality.  相似文献   

3.

Objective

The purpose of this study was to investigate the relative effectiveness of three web-scale discovery (WSD) tools in answering health sciences search queries.

Methods

Simple keyword searches, based on topics from six health sciences disciplines, were run at multiple real-world implementations of EBSCO Discovery Service (EDS), Ex Libris''s Primo, and ProQuest''s Summon. Each WSD tool was evaluated in its ability to retrieve relevant results and in its coverage of MEDLINE content.

Results

All WSD tools returned between 50%–60% relevant results. Primo returned a higher number of duplicate results than the other 2 WSD products. Summon results were more relevant when search terms were automatically mapped to controlled vocabulary. EDS indexed the largest number of MEDLINE citations, followed closely by Summon. Additionally, keyword searches in all 3 WSD tools retrieved relevant material that was not found with precision (Medical Subject Headings) searches in MEDLINE.

Conclusions

None of the 3 WSD products studied was overwhelmingly more effective in returning relevant results. While difficult to place the figure of 50%–60% relevance in context, it implies a strong likelihood that the average user would be able to find satisfactory sources on the first page of search results using a rudimentary keyword search. The discovery of additional relevant material beyond that retrieved from MEDLINE indicates WSD tools'' value as a supplement to traditional resources for health sciences researchers.  相似文献   

4.
Citations selected from the bibliographies of recent texts, a specialized subject bibliography, and review articles were checked in both Cumulated Index Medicus (IM) and the Bibliography of Bioethics (BB) to compare coverage, publication delay, probable causes of indexing and retrieval failure, and the ease with which relevant citations were retrieved. The study also attempted to determine whether BB included appropriate articles from the MEDLINE database in a timely and systematic manner. While 98% of the IM citations appeared within a year of publication, 79% of the BB citations appeared two to three years after their publication dates. The average citation appeared twice as frequently in IM as in BB.  相似文献   

5.
Evaluation of search engines relies on assessments of search results for selected test queries, from which we would ideally like to draw conclusions in terms of relevance of the results for general (e.g., future, unknown) users. In practice however, most evaluation scenarios only allow us to conclusively determine the relevance towards the particular assessor that provided the judgments. A factor that cannot be ignored when extending conclusions made from assessors towards users, is the possible disagreement on relevance, assuming that a single gold truth label does not exist. This paper presents and analyzes the predicted relevance model (PRM), which allows predicting a particular result’s relevance for a random user, based on an observed assessment and knowledge on the average disagreement between assessors. With the PRM, existing evaluation metrics designed to measure binary assessor relevance, can be transformed into more robust and effectively graded measures that evaluate relevance towards a random user. It also leads to a principled way of quantifying multiple graded or categorical relevance levels for use as gains in established graded relevance measures, such as normalized discounted cumulative gain, which nowadays often use heuristic and data-independent gain values. Given a set of test topics with graded relevance judgments, the PRM allows evaluating systems on different scenarios, such as their capability of retrieving top results, or how well they are able to filter out non-relevant ones. Its use in actual evaluation scenarios is illustrated on several information retrieval test collections.  相似文献   

6.
The purpose of this research was to determine which of three databases, CINAHL, EMBASE or MEDLINE, should be accessed when researching nursing topics. The three databases were searched for citations on topics selected by three nurse researchers and the results were compared. For the search of nursing care literature on a medical condition, it was helpful to search both CINAHL and MEDLINE. CINAHL provided the majority of relevant articles for the second search, on computers and privacy, but inclusion of MEDLINE and EMBASE enhanced retrieval somewhat. The search on substance abuse in pregnancy, not restricted to nursing literature, retrieved better results when searching both MEDLINE and EMBASE. Due to the nature and distribution of the nursing literature, it is especially important for the searcher to understand and respond to the focus of the researcher.  相似文献   

7.
A search for literature on the relationship between the autonomic nervous system and speech was performed via the DIALOG Information Service on four databases: BIOSIS Previews, EMBASE, MEDLINE, and PsycINFO. A doctoral candidate in the Department of Audiology and Speech Sciences at Purdue University reviewed the citations retrieved for relevancy. Then, the coverage of the relevant literature by the four databases was analyzed. MEDLINE yielded the greatest number of relevant citations followed by EMBASE, BIOSIS, and PsycINFO. The four databases showed little overlap in coverage of citations or journal titles. This study indicates that it would be advantageous to search all four databases for the speech scientist.  相似文献   

8.
This study examines the use of an ontology as a search tool. Sixteen subjects created queries using Concept-based Information Retrieval Interface (CIRI) and a regular baseline IR interface. The simulated work task method was used to make the searching situations realistic. Subjects’ search experiences, queries and search results were examined. The numbers of search concepts and keys, as well as their overlap in the queries were investigated. The effectiveness of the CIRI and baseline queries was compared. An Ontology Index (OI) was calculated for all search tasks and the correlation between the OI and the overlap of search concepts and keys in queries was investigated. The number of search keys and concepts was higher in CIRI queries than in baseline interface queries. Also the overlap of search keys was higher among CIRI users than among baseline users. These both findings are due to CIRI’s expansion feature. There was no clear correlation between OI and overlap of search concepts and keys. The search results were evaluated with generalised precision and recall, and relevance scores based on individual relevance assessments. The baseline interface queries performed better in all comparisons, but the difference was statistically significant only in relevance scores based on individual relevance assessments.  相似文献   

9.
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the relevant documents’ scores by a mixture of Gaussians and the non-relevant scores by a Gamma distribution. Applying Variational Bayes we automatically trade-off the goodness-of-fit with the complexity of the model. We test our model on traditional retrieval functions and actual search engines submitted to TREC. We demonstrate the utility of our model in inferring precision-recall curves. In all experiments our model outperforms the dominant exponential-Gaussian model.  相似文献   

10.
ABSTRACT

The authors of this article analyzed the differences in output when searching MEDLINE direct and MEDLINE via citation management software, EndNote X1®, EndNote Web®, and RefWorks©. Several searches were performed on Ovid MEDLINE and PubMed directly. These searches were compared against the same searches conducted in Ovid MEDLINE and PubMed using the search features in EndNote X1, EndNote Web, and RefWorks. Findings indicated that for in-depth research users, should search the databases directly rather than through the citation management software interface. The search results indicated it would be appropriate to search databases via citation management software for citation verification tasks and for cursory keyword searching.  相似文献   

11.
The critical task of predicting clicks on search advertisements is typically addressed by learning from historical click data. When enough history is observed for a given query-ad pair, future clicks can be accurately modeled. However, based on the empirical distribution of queries, sufficient historical information is unavailable for many query-ad pairs. The sparsity of data for new and rare queries makes it difficult to accurately estimate clicks for a significant portion of typical search engine traffic. In this paper we provide analysis to motivate modeling approaches that can reduce the sparsity of the large space of user search queries. We then propose methods to improve click and relevance models for sponsored search by mining click behavior for partial user queries. We aggregate click history for individual query words, as well as for phrases extracted with a CRF model. The new models show significant improvement in clicks and revenue compared to state-of-the-art baselines trained on several months of query logs. Results are reported on live traffic of a commercial search engine, in addition to results from offline evaluation.  相似文献   

12.
Articles are cited for different purposes and differentiating between reasons when counting citations may therefore give finer-grained citation count information. Although identifying and aggregating the individual reasons for each citation may be impractical, recording the number of citations that originate from different article sections might illuminate the general reasons behind a citation count (e.g., 110 citations = 10 Introduction citations + 100 Methods citations). To help investigate whether this could be a practical and universal solution, this article compares 19 million citations with DOIs from six different standard sections in 799,055 PubMed Central open access articles across 21 out of 22 fields. There are apparently non-systematic differences between fields in the most citing sections and the extent to which citations from one section overlap with citations from another, with some degree of overlap in most cases. Thus, at a science-wide level, section headings are partly unreliable indicators of citation context, even if they are more standard within individual fields. They may still be used within fields to help identify individual highly cited articles that have had one type of impact, especially methodological (Methods) or context setting (Introduction), but expert judgement is needed to validate the results.  相似文献   

13.
[目的/意义]比较Innography、WIPS和Patentics3个专利检索系统的引文分析功能,旨在帮助用户识别满足自己需要的专利引文分析工具,同时提出进一步完善专利检索系统引文分析功能的建议。[方法/过程]通过比较3个专利检索系统引文收录范围、引文检索方式、前引后引查找功能、引文类型区分功能、非专利文献查找功能、可视化呈现功能和引文检索准确度,发现3个专利检索系统都具备基础的引文分析功能,但各有不足,难以满足现实需求。[结果/结论]Innography应加强数据清洗,WIPS需扩大引文收录范围,Patentics则要增强系统稳定性,三者在检索数据准确性方面都有待提高。  相似文献   

14.
Objectives: National databases may be useful sources in the production of a systematic review (SR). The aim of this study was to assess the potential benefit of a systematic search in the German database ‘Current Contents Medizin’ (CCMed ). Methods: The study was conducted on the basis of published SRs that included CCMed as a literature source. Eligible SRs were identified through a systematic search in medline , embase and The Cochrane Library. The websites of German Health Technology Assessment agencies were also screened. Citations of primary studies included as relevant in the SRs were extracted and then categorised. Results: The search yielded 52 eligible SRs. A total of 1505 relevant citations were extracted. Seventy‐seven of these articles were published in journals indexed in CCMed . Thirty‐two of the 77 citations were indexed in CCMed , but only eight of the 32 were unique. Of these eight citations, seven were not identified by a systematic search, but by handsearching. Only one unique citation, an observational study, was identified in CCMed by a systematic search. Conclusions: In the production of SRs, a systematic search in CCMed identifies relevant studies only in exceptional cases. Therefore, the routine inclusion of this database in systematic searches does not appear meaningful.  相似文献   

15.

Objective:

To support clinical researchers, librarians and informationists may need search filters for particular tasks. Development of filters typically depends on a “gold standard” dataset. This paper describes generalizable methods for creating a gold standard to support future filter development and evaluation using oral squamous cell carcinoma (OSCC) as a case study. OSCC is the most common malignancy affecting the oral cavity. Investigation of biomarkers with potential prognostic utility is an active area of research in OSCC. The methods discussed here should be useful for designing quality search filters in similar domains.

Methods:

The authors searched MEDLINE for prognostic studies of OSCC, developed annotation guidelines for screeners, ran three calibration trials before annotating the remaining body of citations, and measured inter-annotator agreement (IAA).

Results:

We retrieved 1,818 citations. After calibration, we screened the remaining citations (n = 1,767; 97.2%); IAA was substantial (kappa = 0.76). The dataset has 497 (27.3%) citations representing OSCC studies of potential prognostic biomarkers.

Conclusions:

The gold standard dataset is likely to be high quality and useful for future development and evaluation of filters for OSCC studies of potential prognostic biomarkers.

Implications:

The methodology we used is generalizable to other domains requiring a reference standard to evaluate the performance of search filters. A gold standard is essential because the labels regarding relevance enable computation of diagnostic metrics, such as sensitivity and specificity. Librarians and informationists with data analysis skills could contribute to developing gold standard datasets and subsequent filters tuned for their patrons'' domains of interest.  相似文献   

16.
We performed a citation analysis on the Web of Science publications consisting of more than 63 million articles and over a billion citations on 254 subjects from 1981 to 2020. We proposed the Article’s Scientific Prestige (ASP) metric and compared this metric to number of citations (#Cit) and journal grade in measuring the scientific impact of individual articles in the large-scale hierarchical and multi-disciplined citation network. In contrast to #Cit, ASP, that is computed based on the eigenvector centrality, considers both direct and indirect citations, and provides steady-state evaluation cross different disciplines. We found that ASP and #Cit are not aligned for most articles, with a growing mismatch amongst the less cited articles. While both metrics are reliable for evaluating the prestige of articles such as Nobel Prize winning articles, ASP tends to provide more persuasive rankings than #Cit when the articles are not highly cited. The journal grade, that is eventually determined by a few highly cited articles, is unable to properly reflect the scientific impact of individual articles. The number of references and coauthors are less relevant to scientific impact, but subjects do make a difference.  相似文献   

17.
One hundred sixty-five search requests processed through the SUNY Biomedical Communication Network were analyzed to determine how many of the citations thus retrieved would have been retrievable by MEDLINE. The results showed that MEDLINE would have been capable of retrieving 78.7% of the SUNY citations. Almost half of the 21.3% of the citations not retrievable by MEDLINE were from foreign-language journals. A subject analysis of the data showed that in most subject areas MEDLINE was able to provide a relatively small percentage of the journal titles generated by SUNY. These few titles, however, contained a large percentage of the SUNY citations involved in the study.  相似文献   

18.
Most college and university libraries in British Columbia are using either EBSCO or Summon Discovery search services as a “one stop shop” for users to find, save, and cite resources for their projects. The citation generators that both EBSCO and Summon offer simplify the process of inserting citations into essays, however the citations need to be accurate for users to be able to submit citations that are error free. Considering this, this article looks at the accuracy of the citation generators each service offers. A total of twenty resources were picked from student library assignments for print books, eBooks, and articles in APA, Chicago, and MLA styles to determine the number and types of errors that occur for EBSCO and Summon Discovery. The error rate was substantial enough that caution must be used when creating citations using these tools and librarians should advise users that Discovery citation generators cannot be relied upon to provide accurate citations.  相似文献   

19.
ABSTRACT

This study used citation analysis in conjunction with a subjective rubric with five validated criteria to assess the quality of a purposive sample of 452 education dissertation reference lists produced at a nontraditional institution from six doctoral programs. These programs used a variety of distance education models. The citations were then compared with the 100 reference lists selected from doctoral education programs at 10 traditional institutions. Criteria included the breadth of resources, depth of the literature review as shown through the citing of critical historical and theoretical works, depth as demonstrated through the scholarliness of citations chosen, currency, and relevancy. The study discusses how the expanded sample of traditional reference lists continued to demonstrate consistent patterns. In contrast, although the sample of reference lists from distance education programs was much expanded, the patterns of the subsets of reference lists at the nontraditional institution were significantly diverse. The patterns of 35 doctoral reference lists from another for-profit, nontraditional institution known for providing distance education were also examined to compare the results of the two nontraditional programs. Possible reasons for differences in citation patterns by traditional and nontraditional programs are discussed, and the possible role of distance education and program criteria are examined for insights they offer into the use of citation analysis as an assessment tool of the library research skills of doctoral students.  相似文献   

20.
The purpose of this study was to identify objectively a hierarchical ranking of journals for health sciences librarians with faculty status. Such a guideline can indicate a journal's value for promotion and tenure consideration. Lists of recent research articles (1982-1986) in health sciences librarianship, and articles written by health sciences librarians, were compiled by searching Social SCISEARCH and MEDLINE. The journals publishing those articles are presented. Results show BMLA as the most prominent journal in the field. Therefore, citations from articles in BMLA from 1982 to 1986 were chosen as a sample for citation analysis. Citation analysis was employed to identify the most frequently cited journals. Some characteristics of the citations in BMLA are also discussed. The ranking of journals based on citation frequency, as a result, was identified.  相似文献   

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