Database Coverage Research Articles

Social Gerontology—Integrative and Territorial Aspects: A Citation Analysis of Subject Scatter and Database Coverage

To determine the mix of resources used in social gerontology research, a citation analysis was conducted. A representative sample of citations was selected from three prominent gerontology journals and information was added to determine subject scatter and database coverage for the cited materials. Results indicate that a significant portion of gerontology research, even from a social science perspective, relies roughly equally on medical resources as it does social science resources. Furthermore, there is a small but defined core of literature constituting scholarly “territory” unique to gerontology. Analysis of database indexing indicated that broad, interdisciplinary databases provide more comprehensive coverage of the cited materials than do subject-specific databases.

학술논문 품질평가를 위한 다방면 인용분석방식

Despite the widespread use, critics claim that citation analysis has serious limitations in evaluating the research performance of scholars. First, conventional citation analysis methods yield one-dimensional and sometimes misleading evaluation as a result of not taking into account differences in citation quality, not filtering out citation noise such as self-citations, and not considering non-numeric aspects of citations such as language, culture, and time. Second, the citation database coverage of today is disjoint and incomplete, which can result in conflicting quality assessment outcomes across different data sources. This paper discuss the findings from a citation analysis study that measured the impact of scholarly publications based on the data mined from Web of Science, Scopus, and Google Scholar, and briefly describes a work-in-progress prototype system called CiteSearch, which is designed to overcome the weaknesses of existing citation analysis methods with a robust citation-based quality assessment approach.

On the accuracy of language trees.

Historical linguistics aims at inferring the most likely language phylogenetic tree starting from information concerning the evolutionary relatedness of languages. The available information are typically lists of homologous (lexical, phonological, syntactic) features or characters for many different languages: a set of parallel corpora whose compilation represents a paramount achievement in linguistics.From this perspective the reconstruction of language trees is an example of inverse problems: starting from present, incomplete and often noisy, information, one aims at inferring the most likely past evolutionary history. A fundamental issue in inverse problems is the evaluation of the inference made. A standard way of dealing with this question is to generate data with artificial models in order to have full access to the evolutionary process one is going to infer. This procedure presents an intrinsic limitation: when dealing with real data sets, one typically does not know which model of evolution is the most suitable for them. A possible way out is to compare algorithmic inference with expert classifications. This is the point of view we take here by conducting a thorough survey of the accuracy of reconstruction methods as compared with the Ethnologue expert classifications. We focus in particular on state-of-the-art distance-based methods for phylogeny reconstruction using worldwide linguistic databases.In order to assess the accuracy of the inferred trees we introduce and characterize two generalizations of standard definitions of distances between trees. Based on these scores we quantify the relative performances of the distance-based algorithms considered. Further we quantify how the completeness and the coverage of the available databases affect the accuracy of the reconstruction. Finally we draw some conclusions about where the accuracy of the reconstructions in historical linguistics stands and about the leading directions to improve it.

Jazz Music Library (review)

Reviewed by: Jazz Music Library Sha Towers Jazz Music Library. Alexander Street Press, LLC. http://jazz.alexanderstreet.com/ (Accessed August 2010 to December 2010). [Requires a Web browser and an Internet connection, Microsoft Windows 98 or higher/Macintosh 10.0 or higher, sound card with speakers/headphones, and Adobe Flash Player 7 or higher. Subscription pricing ranges from $995 - $3,000, depending on number of simultaneous users. Consortial or package discounts may apply.] Founded in May 2000, Alexander Street Press (hereafter ASP) began with the aim of publishing large, digital collections in the humanities and social sciences. The company entered the realm of streaming audio in November 2004 with the acquisition of Classical Music Library. In April 2009, ASP announced the release of Jazz Music Library (hereafter JML) with an initial offering of 18,000 tracks (representing 3,800 artists and licensed material from dozens of record labels). With this new service, ASP aspired to be the "largest and most comprehensive collection of streaming jazz available online" with coverage in "every jazz genre and time period."1 JML is available as a standalone subscription or through ASP's Music Online Listening Package, which offers aggregated access to all of ASP's streaming audio databases.2 Coverage As of September 2010, JML contained nearly 6,000 albums, totaling nearly 69,000 tracks. ASP staff notes that by the end of 2010, JML will include 100,000-120,000 tracks. The database currently includes 5,841 albums from 77 record labels. Initial reports indicated that JML included 5,888 albums for 109 record labels, though upon closer inspection it became clear that this estimate was in error, as the company's master list contained duplication of thirty-two labels. Presently, recorded materials in JML span from the 1920s (four works) to the 1990s (3,776 works). In this context, the term "work" represents either an entire album or (in the case of albums containing material recorded in various years) one or more tracks. Though the total number of [End Page 800] works does not correspond neatly to other reported data (works will be greater than the total number of albums and less than the total number of tracks), the breakdown of works by recording date is useful for a more informed view of the database's coverage (see Figure 1). The majority of works in JML have recording dates from the 1950s and 1960s. Together these two decades account for 14,221 works. In comparison, the last quarter of the 20th century is represented by 9,195 works. Click for larger view View full resolution Fig. 1. Number of works in Jazz Music Library arranged by decade of recording date (as of 1 December 2010) Though JML currently includes seventy-seven record labels, many of these offer only a few recordings. Nearly 20 percent of the labels include only a single recording. More than 50 percent of the labels include ten or fewer recordings. The four labels with the largest representation in JML—Universal Classics & Jazz (802), Verve (676), Blue Note (671), and Prestige (567)—make up 46 percent of the database. See Figure 2 for a breakdown of the number of albums available, by label. Often labels with few recordings in JML suggest that a label does not have digital rights for everything produced on that label or that these rights have not been conveyed to ASP. In other cases, a non jazz-centric label may have released a small number of jazz albums or is a sub unit of a larger label with greater representation in JML. Navigating JML JML navigation and menu options are clearly displayed in the header of the site, providing easy access to information about JML, searching, browsing, and creating playlists (discussed below). The "Help" page (browsable and searchable) includes FAQs, technical support contact information, troubleshooting guides, and tips on using the database. Newly-added recordings appear on a separate tab, and users can sort results (by album title, performer, label, genre, or recording date), though with updates of nearly 1,000 albums at a time, the value of this tab may be questionable. The header also includes a link to JML's RSS feed for...

Google Scholar's Dramatic Coverage Improvement Five Years after Debut

This article reports a 2010 empirical study using a 2005 study as a base to compare Google Scholar's coverage of scholarly journals with commercial services. Through random samples of eight databases, the author finds that, as of 2010, Google Scholar covers 98 to 100 percent of scholarly journals from both publicly accessible Web contents and from subscription-based databases that Google Scholar partners with. In 2005 the coverage of the same databases ranged from 30 to 88 percent. The author explores de-duplication of search results by Google Scholar and discusses its impacts on searches and library resources. With the dramatic improvement of Google Scholar, the uniqueness and effectiveness of subscription-based abstracts and indexes have dramatically changed.

Google Scholar Out-Performs Many Subscription Databases when Keyword Searching

Google Scholar Out-Performs Many Subscription Databases when Keyword Searching

Google Scholar's Dramatic Coverage Improvement Five Years after Debut

This article reports a 2010 empirical study using a 2005 study as a base to compare Google Scholar's coverage of scholarly journals with commercial services. Through random samples of eight databases, the author finds that, as of 2010, Google Scholar covers 98 to 100 percent of scholarly journals from both publicly accessible Web contents and from subscription-based databases that Google Scholar partners with. In 2005 the coverage of the same databases ranged from 30 to 88 percent. The author explores de-duplication of search results by Google Scholar and discusses its impacts on searches and library resources. With the dramatic improvement of Google Scholar, the uniqueness and effectiveness of subscription-based abstracts and indexes have dramatically changed.

Developing the wool proteome

The wool proteome has been largely uncharted due to a lack of database coverage, poor protein extractability and dynamic range issues. Yet, investigating correlations between wool physical properties and protein content, or characterising UV-, heat- or processing-induced protein damage requires the availability of an identifiable and identified proteome. In this study we have achieved unprecedented wool proteome identification through a strategy of comprehensive data acquisition, iterative protein identification/validation and concurrent augmentation of the sequence database. Data acquisition comprised a range of different hyphenated MS techniques including LC-MS/MS, LC-MALDI, 2D-LC-MS/MS and SDS-PAGE LC-MS. Using iterative searching of databases and search result combination using ProteinScape, a systematic expansion of identifiable proteins in the sequence database was achieved. This was followed by extensive validation and rationalisation of the protein identifications. In total, 72 complete and 30 partial ovine-specific protein sequences were added to the database, and 113 wool proteins were identified. Enhanced access to ovine-specific protein identification and characterisation will facilitate all wool fibre protein chemistry and proteomics research.

CIMDS: Adapting Postprocessing Techniques of Associative Classification for Malware Detection

Malware is software designed to infiltrate or damage a computer system without the owner's informed consent (e.g., viruses, backdoors, spyware, trojans, and worms). Nowadays, numerous attacks made by the malware pose a major security threat to computer users. Unfortunately, along with the development of the malware writing techniques, the number of file samples that need to be analyzed, named gray list, on a daily basis is constantly increasing. In order to help our virus analysts, quickly and efficiently pick out the malicious executables from the gray list, an automatic and robust tool to analyze and classify the file samples is needed. In our previous work, we have developed an intelligent malware detection system (IMDS) by adopting associative classification method based on the analysis of application programming interface (API) execution calls. Despite its good performance in malware detection, IMDS still faces the following two challenges: (1) handling the large set of the generated rules to build the classifier; and (2) finding effective rules for classifying new file samples. In this paper, we first systematically evaluate the effects of the postprocessing techniques (e.g., rule pruning, rule ranking, and rule selection) of associative classification in malware detection, and then, propose an effective way, i.e., CIDCPF, to detect the malware from the gray list. To the best of our knowledge, this is the first effort on using postprocessing techniques of associative classification in malware detection. CIDCPF adapts the postprocessing techniques as follows: first applying Chi-square testing and Insignificant rule pruning followed by using Database coverage based on the Chi-square measure rule ranking mechanism and Pessimistic error estimation, and finally performing prediction by selecting the best First rule. We have incorporated the CIDCPF method into our existing IMDS system, and we call the new system as CIMDS system. Case studies are performed on the large collection of file samples obtained from the Antivirus Laboratory at Kingsoft Corporation and promising experimental results demonstrate that the efficiency and ability of detecting malware from the gray list of our CIMDS system outperform popular antivirus software tools, such as McAfee VirusScan and Norton Antivirus, as well as previous data-mining-based detection systems, which employed Naive Bayes, support vector machine, and decision tree techniques. In particular, our CIMDS system can greatly reduce the number of generated rules, which makes it easy for our virus analysts to identify the useful ones.

Mining metagenomic data for novel domains: BACON, a new carbohydrate-binding module

Third-generation sequencing has given new impetus to protein sequence database growth, revealing new domains. Description and analysis of these is required to further improve the coverage and utility of domain databases. A novel domain, here named BACON, was discovered from analysis of metagenomic data obtained from gut bacteria. Domain architectures unambiguously link its function to carbohydrate metabolism but a further strong connection to protease domains suggests that many BACON domains bind glycoproteins. Conserved residues in the BACON domain are also characteristic of carbohydrate binding while its biased phyletic distribution and other data suggest mucin as a potential specific target.

학술지 영향력 측정을 위한 h-지수의 응용에 관한 연구

최근까지 학술지의 영향력을 측정하기 위하여 Thomson Reuters(ISI)의 영향력지수(JIF: Journal Impact Factor)가 널리 사용되어왔다. 그러나, 이러한 JIF는 학술지 단위가 아니라 수록 논문의 평균 영향력을 측정하는 지표라는 근본적인 한계를 가지고 있으며, 이외에도 다양한 측면에서 많은 문제점들이 지적되었다. 특히 국내 인용색인은 국제적인 인용색인 데이터베이스에 비해서 인용 데이터의 규모가 상당히 제한적이므로, 이를 고려하여 국내 학술지 인용 환경에 적합한 지수의 적용이 필요하다. 따라서 이 연구는 최근 급속히 확산되고 있는 Hirsch 유형 지수(h-type indices)를 적용하여 국내 학술지의 영향력을 보다 더 상세하게 측정할 수 있는 실제적인 방안을 모색하였다. 결과적으로, h-지수의 변형지수(<TEX>$h_s$</TEX>-지수, <TEX>$f_s$</TEX>-지수)를 사용하거나 호 단위 합산(호 기반 h-지수, 호 기반 f-지수) 방법을 통하여, 기존 Hirsch 유형 지수들의 변별력을 향상시킬 수 있음은 물론 국내 학술지의 영향력을 더욱 정밀하게 측정할 수 있는 것으로 나타났다. The journal impact factor(JIF) of the Thomson Reuters(ISI) has been widely used to assess the impact of journal as well as its quality. However, the JIF contains its critical limitation, in which it does not measure the impact of journal but the average impact of articles in journal. Besides significant number of problems of the JIF has been noticed. Furthermore, given the limited coverage of domestic citation index database in comparison to those of international citation index, it is necessary to apply a more appropriate index with a high level of discriminating power. This study, therefore, aims to introduce some practical methods to measure the impact of domestic journals by using the Hirsch-type indices. As the Hirsch-type indices has been often used for overcoming the limitations of the JIF in worldwide, we hope that our research outcome offers an effective alternative to gauge the impact of journals more accurately. Consequently, using the variations of the h-index(<TEX>$h_s$</TEX>-index, <TEX>$f_s$</TEX>-index) or the sum of issue level(issue based h-index, issue based f-index), we argue that it would improve the discrimination capacity of the Hirsch-type indices significantly and that we can measure the impact of domestic journals more clearly.

The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index

The growth rate of scientific publication has been studied from 1907 to 2007 using available data from a number of literature databases, including Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). Traditional scientific publishing, that is publication in peer-reviewed journals, is still increasing although there are big differences between fields. There are no indications that the growth rate has decreased in the last 50 years. At the same time publication using new channels, for example conference proceedings, open archives and home pages, is growing fast. The growth rate for SCI up to 2007 is smaller than for comparable databases. This means that SCI was covering a decreasing part of the traditional scientific literature. There are also clear indications that the coverage by SCI is especially low in some of the scientific areas with the highest growth rate, including computer science and engineering sciences. The role of conference proceedings, open access archives and publications published on the net is increasing, especially in scientific fields with high growth rates, but this has only partially been reflected in the databases. The new publication channels challenge the use of the big databases in measurements of scientific productivity or output and of the growth rate of science. Because of the declining coverage and this challenge it is problematic that SCI has been used and is used as the dominant source for science indicators based on publication and citation numbers. The limited data available for social sciences show that the growth rate in SSCI was remarkably low and indicate that the coverage by SSCI was declining over time. National Science Indicators from Thomson Reuters is based solely on SCI, SSCI and Arts and Humanities Citation Index (AHCI). Therefore the declining coverage of the citation databases problematizes the use of this source.

Environmental Microbiology: A Database Coverage Study

The purpose of this study was to compare database coverage in the area of environmental microbiology. Journal titles important in the subject were identified and checked for coverage in relevant databases. A random sample of journal citations from Environmental Microbiology, a key journal in the area, was checked for coverage in eight databases. Web of Science found the highest number of references in the sample, whereas Scopus found the second highest number of references. Subject-specific databases covered a large portion of the references in the sample but were not as comprehensive as the interdisciplinary databases.

Accidents at work related to violence – Analysis of Finnish national accident statistics database

The current trends, prevalence and information retrieval possibilities for accidents at work in Finland, related to violence, are analysed using data from the national occupational accident statistics database. The analysis includes years 2003 and 2006. The data were gathered using accident description analysis. Descriptive statistics and comparisons with employee distributions were used in the data analysis. Information retrieval possibilities were analysed in terms of precision and recall. The results indicate that the number of accidents at work related to violence, especially those involving women, has increased in Finland. Increased reporting and changes in the labour market and working life are likely to explain at least part of this increase. The coverage of the Finnish occupational accident statistics database appears to have improved along with the implementation of European Statistics on Accidents at Work (ESAW) methodology. However, information about violence-related accidents at work is difficult to obtain with the current accident classification codes in use. It is recommended that more precise codes for violence-related accidents at work are included in the Finnish implementation of ESAW methodology. Reliable estimation of the violence-related accident trends will require regular repetition of similar analyses. Reliable information is necessary to determine the effectiveness of preventative actions.

Electronic Orientalism? the afterlife of Syed Hussein Alatas’ The Myth of the Lazy Native in online databases

This article examines how in the discourse on Orientalism, electronic databases from Western academia represent voices from formerly colonized countries. In a case study, the afterlife of one of the classics of Orientalism studies, The Myth of the Lazy Native (1977) by the Malaysian Syed Hussein Alatas, in online databases, particularly JSTOR, is examined. It is found that almost all authors of the included articles are educated in or affiliated with Western academia. This does not automatically result in a rejection of his critical views on Western Orientalism. A close reading reveals that only the early reviews (1977—82) tend to view The Myth of the Lazy Native critically. From 1983 onwards, almost all represented articles refer to the Myth as an authoritative work, with relevance for various fields of study in different periods. However, due to the biased coverage of the online databases, voices from outside the Anglo-American academia remain unheard, which is particularly problematic in the discourse on Western Orientalism.

Coverage of the bibliographic databases in mental health research

Background: Electronic bibliographic databases are important tools when searching for medical information. The selected databases have an important effect on the potential results achieved. Studies about comparison of databases provide useful information to help determine which databases or set of databases are useful for a particular topic. Aims: The aim of this study is to examine the coverage and overlap of three commonly used databases in mental health research. Methods: We performed systematic database searches on four topics (ADHD prevalence, schizotypal personality, brain MRI studies in schizophrenia, recovery in schizophrenia) in three databases (PubMed, Web of Science and PsycINFO). We also studied the effect of publication year and language on database coverage. Results: PubMed was the most comprehensive database in ADHD (85% coverage of total results of the three databases) and MRI studies (71%), whereas PsycINFO was most effective in recovery (62%) and schizotypal personality (72%). The most comprehensive combination of two databases found 77–94% of the articles on the different topics. Publication year and language affected the coverage in some cases. Conclusions: When choosing databases, the extent of coverage and topic should be taken into account, as there is no single database that covers all information needs. In the case of interdisciplinary topics, the Web of Science or PsycINFO should be considered; PsycINFO should be included especially on topics related to psychology. The use of several relevant bibliographic databases, including others than those used here, is recommended.

Database source coverage: hypes, vital signs and reality checks

PurposeThe purpose of this paper is to show that the extent of journal coverage, size and retrospectivity are three of the most commonly advertised features of database content. However, these data by themselves rarely provide a good enough sense of the real breadth of database coverage.Design/methodology/approachSome easy‐to‐calculate measures can provide vital signs of database coverage, which in turn may trigger in‐depth analysis at the individual journal level. When similar vital signs are produced from comparable databases and database segments, as is done for Arts and Humanities (A&amp;H) sources in Web of Science, Scopus, H.W. Wilson and CSA databases for this paper, the real dimensions of the source coverage can be much better understood.FindingsThe decision to almost double the number of A&amp;H journals reinforces the concept of enhancing the breadth of source coverage, obviously at the expense of depth of coverage. It is like those “If it is Tuesday, it must be Belgium” tours, where the emphasis is on beating the other tours by advertising more comprehensive coverage of European countries by “virtue” of visiting more countries in a single afternoon.Originality/valueFor scientometric searches so called “known item” searches are made, and the more records that are missing from core journals, the more harm is done to the subjects of the search. In subject searches a few good finds may be fine, but in “known item” searches that is not good enough. Doubling the cited reference enhanced segment, and eliminating the gaps in, say, the 1975‐2009 segment would have been much smarter policy for Scopus.

Database Coverage and Impact Factor of Open Access Journals in Pharmacy

Open access (OA) publishing has recently generated considerable interest. One of the markers of success for conventionally published and OA journals is the impact factor (IF). These elements have not been concurrently assessed in pharmacy journals. Database coverage along with gratis OA status and corresponding IF were examined in an assembled list of 72 OA pharmacy journals. EMBASE provided the most coverage of OA pharmacy journals by a substantial margin (62.5%), followed by Science Citation Index Expanded (37.5%), MEDLINE (30.6%), and International Pharmaceutical s (27.8%). Twenty-seven journals were tracked for IF with varying database combinations necessary to identify them all.

Google Scholar compared to Web of Science. A Literature Review

Teaching information literacy at higher educational institutions forms the background for the current review. In order to provide an appropriate educational service for research scholars, Google Scholar is considered for teaching. To obtain insight into Google Scholar, it is compared to Web of Science (WoS), the most recognized database for peer reviewed content, well known to librarians and the research community. Both databases are multidisciplinary, provide links to library holdings and offer opportunities for export of references. In addition they have the powerful feature of tracking cited and citing items. The study aims at constructing a deeper understanding of Google Scholar. It is based on a literature review comparing database content, coverage and research impact measures.

DNA barcoding insect–host plant associations

Short-sequence fragments ('DNA barcodes') used widely for plant identification and inventorying remain to be applied to complex biological problems. Host-herbivore interactions are fundamental to coevolutionary relationships of a large proportion of species on the Earth, but their study is frequently hampered by limited or unreliable host records. Here we demonstrate that DNA barcodes can greatly improve this situation as they (i) provide a secure identification of host plant species and (ii) establish the authenticity of the trophic association. Host plants of leaf beetles (subfamily Chrysomelinae) from Australia were identified using the chloroplast trnL(UAA) intron as barcodes amplified from beetle DNA extracts. Sequence similarity and phylogenetic analyses provided precise identifications of each host species at tribal, generic and specific levels, depending on the available database coverage in various plant lineages. The 76 species of Chrysomelinae included-more than 10 per cent of the known Australian fauna-feed on 13 plant families, with preference for Australian radiations of Myrtaceae (eucalypts) and Fabaceae (acacias). Phylogenetic analysis of beetles shows general conservation of host association but with rare host shifts between distant plant lineages, including a few cases where barcodes supported two phylogenetically distant host plants. The study demonstrates that plant barcoding is already feasible with the current publicly available data. By sequencing plant barcodes directly from DNA extractions made from herbivorous beetles, strong physical evidence for the host association is provided. Thus, molecular identification using short DNA fragments brings together the detection of species and the analysis of their interactions.