3,323 research outputs found
Subject gateway sites and search engine ranking.
No full textThe spread of subject gateway sites can have an impact on the other major Web information retrieval tool: the commercial search engine. This is because gateway sites perturb the link structure of the Web, something used to rank matches in search engine results pages. The success of Google means that its PageRank algorithm for ranking the importance of Web pages is an object of particular interest, and it is one of the few published ranking algorithms. Although highly mathematical, PageRank admits a simple underlying explanation that allows an analysis of its impact on Web spaces. It is shown that under certain stated assumptions gateway sites can actually decrease the PageRank of their targets. Suggestions are made for gateway site designers and other Web authors to minimise this
Not all International Collaboration is Beneficial: The Mendeley Readership and Citation Impact of Biochemical Research Collaboration
No full text<p>Data from the paper </p>
<p>Not all International Collaboration is Beneficial: The Mendeley Readership and Citation Impact of Biochemical Research Collaboration</p>
<p>by</p>
<p>Pardeep Sud, Mike Thelwall</p
An initial exploration of the link relationship between UK university Web sites.
No full textAggregates of links are of interest to information scientists in the same way as citation counts are: as potential sources of data from which new knowledge can be mined. Builds on the recent discovery of a correlation between a Web link count measure and the research quality of British universities by applying a range of multivariate statistical techniques to counts of links between pairs of universities. This represents an initial attempt at developing an understanding of this phenomenon. Extracts plausible results. Also identifies outliers in the data by the techniques, some of which were verified by being tracked down to identifiable Web phenomena. This is an important outcome because successful anomaly identification is a precondition to more effective analysis of this kind of data. The identification of groupings is encouraging evidence that Web links between universities can be mined for significant results, although it is clear that more methodological development is needed, if any but the simplest patterns are to be extracted. Finally, based upon the types of patterns extracted, argues that none of the methods used are capable of fully analysing link structures on their own
Are scholarly articles disproportionately read in their own country? An analysis of Mendeley readers
No full text<p>Statistics from the paper: Are scholarly articles disproportionately read in their own country? An analysis of Mendeley readers<br>by Mike Thelwall and Nabeil Maflahi</p
Five recommendations for using alternative metrics in the future UK Research Excellence Framework
No full textAlthough many are excited by the possibilities for using alternative metrics to supplement research assessment, others are concerned about the ease with which the figures can be gamed. It is clear that there is already gaming within traditional citation impact metrics in peer reviewed journals and without quality control mechanisms, social media metrics would be susceptible to the same. Mike Thelwall provides his recommendations for uses of alternative metrics in national research evaluation exercises
Books and authors read by members of Goodreads book groups
No full textA list of the books and authors most read by the members of 50 large English-based Goodreads book groups in mid-2018. This is data from the paper, "The literary heritage of Goodreads book club members: An alternative fiction canon?" by Mike Thelwall and Karen Bourrier.The file also contains the member gender percentages of the 50 large groups analysed.</div
Scientometric portrait of Mike Thelwall
No full textMike Thelwall was honoured with the Derek John de Solla Price Award (2015) at his 50 years age and at 20 years of research publishing career. The first contribution of the author was in 2000 at the age of 35. His publications were analysed by year, growth of publication pattern, collaboration pattern, authorship pattern, channels of communications used and keywords etc. He had 297 publications during 2000-2015 in domains: Computer Science (237), Social Sciences (183), Decision Sciences (50), Mathematics (45), Engineering (11), Medicine(7), Agricultural and Biological Sciences (6), Biochemistry, Genetics and Molecular Biology (6), Economics, Econometrics and Finance (3), Physics and Astronomy (3), Arts and Humanities (2), Business Management and Accounting (2), Psychology (1) and Multidisciplinary (1). Collaborative authorship pattern is found to be in the team size of 2-above 5. Fifty-seven are single authored papers, 136 two authored, 63 three authored, 21 four authored, 7 five authored and 13 above five authored. Two and Three authored papers constitute nearly 67 percent of the total authorship of his papers while single author papers are nearly 19 percent of the total authorship
Altmetrics – good or bad donut? Interview med Mike Thelwall
No full textProfessor Mike Thelwall, University of Wolverhampton, var inviteret til DFFU’s årsmøde i september 2014 for at tale om altmetrics under titlen “Can altmetrics help to identify important new articles?” REVY havde lejlighed til at tale med professor Thewall om, hvorfor biblioteker skal interessere sig for altmetrics
An international multidisciplinary analysis of scholarly communication through investigating citation levels
No full textA thesis submitted in partial fulfilment of the
requirements of the University of Wolverhampton
for the degree of Doctor of PhilosophyThis thesis seeks to demonstrate that the new facilities of Web of Science (WoS) online can be used in new ways to enhance understanding of scholarly communication. It investigates four aspects of scholarly communication: characteristics of highly cited articles, citation levels of collaborative articles, citation levels of multi-disciplinary articles, and patterns of annual citation of highly cited articles. For the first two topics it investigates the WoS category of ‘Information Science & Library Science’ (IS&LS), whereas for the other topics it compares diverse WoS categories in science and social science. Although its main data source is WoS, its investigation of disciplinarity also uses Scopus. The thesis finds: (a) Highly cited IS&LS articles tend to be multidisciplinary and cited late, but are not necessarily first-authored by influential IS&LS researchers, (b) Amongst un-cite IS&LS articles the proportion of collaborative articles has remained almost constant over the past three decades whereas for higher cited articles it has grown steadily with time, (C) In social science subjects the level of citation of multi-disciplinary research are generally similar to that of mono-disciplinary research, whereas in science the citations levels for multi-disciplinary research are substantially lower than that of mono-disciplinary research, and (d) In both science and social science many very highly cited articles continue to be heavily cited more than twenty years after publication. This thesis also introduces and uses an indicator for measuring the extent of collaboration called ‘average partner scores’ and indicates a way in which the subject categories of WoS can be investigated without requiring a licence for the WoS database. Finally, it identifies and addresses some of the technical problems of using WoS online to investigate scholarly communication
Methodologies for crawler based Web surveys.
No full textThis is an accepted manuscript of an article published by MCB UP Ltd in Internet Research on 01/05/2002, available online: https://doi.org/10.1108/10662240210422503
The accepted version of the publication may differ from the final published version.There have been many attempts to study the content of the Web, either through human or automatic agents. Describes five different previously used Web survey methodologies, each justifiable in its own right, but presents a simple experiment that demonstrates concrete differences between them. The concept of crawling the Web also bears further inspection, including the scope of the pages to crawl, the method used to access and index each page, and the algorithm for the identification of duplicate pages. The issues involved here will be well-known to many computer scientists but, with the increasing use of crawlers and search engines in other disciplines, they now require a public discussion in the wider research community. Concludes that any scientific attempt to crawl the Web must make available the parameters under which it is operating so that researchers can, in principle, replicate experiments or be aware of and take into account differences between methodologies. Also introduces a new hybrid random page selection methodology
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