The relationship between the WIFs or inlinks of Computer Science Departments in UK and their RAE ratings or research productivities in 2001

Previous research has shown that Web link based metrics can correlate with traditional research assessment at the university level. In this study, we test whether the same is true for the computer science departments in the UK. The relevant Web Impact Factors (WIFs) were calculated from the link data collected both from AltaVista and the special academic crawler of the University of Wolverhampton. The numbers of staff members and Web pages in each computer science department were used as denominators for the WIFs calculation. The number of inlinks to the computer science departments correlated significantly with their research productivities, and WIFs with numbers of staff members as denominators correlated significantly with their Research Assessment Exercise (RAE) ratings. The number of staff members was confirmed to be a better indicator of departmental size than the number of Web pages within the department's domain. This revised version was published online in August 2006 with corrections to the Cover Date.     

Patterns of national and international Web inlinks to US academic departments: An analysis of disciplinary variations

An investigation of links to 89 US academic departments from three different disciplines gave insights into the kinds of international regions and national domains that linked to them. While significant correlations were found between total counts of international inlinks and total publication impact in Psychology and Chemistry, counts of international inlinks to History departments were too small to give a significant result. The correlations suggest that international links may reflect, to a certain extent, patterns of scholarly communication. Even though History departments attracted a significantly lower percentage of international inlinks than those of Chemistry and Psychology, the main source of links for all three disciplines was from Europe. Analyses of national inlinks, characterized by gTLDs (generic Top Level Domains), showed that the major source of links for all disciplines was .edu sites, followed by .com, .org, .net. As a whole, international regional differences in disciplines were stronger than gTLD differences, although in both cases discrepancies were not of a large scale. This revised version was published online in June 2006 with corrections to the Cover Date.     

Urban Social Tapestries

Urban Tapestries is an exploration into the potential costs and benefits of public authoring, that is, mapping and sharing of local knowledge using pervasive user-generated media. The aim of this investigation is to reveal the potential of pervasive computing to create and support relationships that extend beyond established social and cultural boundaries and enable the development of new practices based around place, identity and community. In this paper, we report on the work carried out within UT since its inception in 2002 discussing all relevant aspects from its background, approach and its technical development. We also identify the main findings of this work related to the use of pervasive computing to support pervasive user-generated content and identify some of the main questions that require further investigation.     

The most highly cited Library and Information Science articles: Interdisciplinarity,first authors and citation patterns

Highly cited articles are interesting because of the potential association between high citation counts and high quality research. This study investigates the 82 most highly cited Information Science and Library Science’ (IS&LS) articles (the top 0.1%) in the Web of Science from the perspectives of disciplinarity, annual citation patterns, and first author citation profiles. First, the relative frequency of these 82 articles was much lower for articles solely in IS&LS than for those in IS&LS and at least one other subject, suggesting that that the promotion of interdisciplinary research in IS&LS may be conducive to improving research quality. Second, two thirds of the first authors had an h-index in IS&LS of less than eight, show that much significant research is produced by researchers without a high overall IS&LS research productivity. Third, there is a moderate correlation (0.46) between citation ranking and the number of years between peak year and year of publication. This indicates that high quality ideas and methods in IS&LS often are deployed many years after being published.     

Data in Brief: Can a mega-journal for data be useful?

Scientometrics - As part of the current move towards open science, there is increasing pressure for scientists to share their research data. In support of this, several journals only publish...     

Can the impact of grey literature be assessed? An investigation of UK government publications cited by articles and books

Scientometrics - Grey literature encompasses a range of relatively informal textual outputs that are not indexed in citation databases. Although they are usually ignored in research evaluations, it...     

Avoiding obscure topics and generalising findings produces higher impact research

Much academic research is never cited and may be rarely read, indicating wasted effort from the authors, referees and publishers. One reason that an article could be ignored is that its topic is, or appears to be, too obscure to be of wide interest, even if excellent scholarship produced it. This paper reports a word frequency analysis of 874,411 English article titles from 18 different Scopus natural, formal, life and health sciences categories 2009–2015 to assess the likelihood that research on obscure (rarely researched) topics is less cited. In all categories examined, unusual words in article titles associate with below average citation impact research. Thus, researchers considering obscure topics may wish to reconsider, generalise their study, or to choose a title that reflects the wider lessons that can be drawn. Authors should also consider including multiple concepts and purposes within their titles in order to attract a wider audience.     

Assessing non-standard article impact using F1000 labels

Faculty of 1000 (F1000) is a post-publishing peer review web site where experts evaluate and rate biomedical publications. F1000 reviewers also assign labels to each paper from a standard list or article types. This research examines the relationship between article types, citation counts and F1000 article factors (FFa). For this purpose, a random sample of F1000 medical articles from the years 2007 and 2008 were studied. In seven out of the nine cases, there were no significant differences between the article types in terms of citation counts and FFa scores. Nevertheless, citation counts and FFa scores were significantly different for two article types: “New finding” and “Changes clinical practice”: FFa scores value the appropriateness of medical research for clinical practice and “New finding” articles are more highly cited. It seems that highlighting key features of medical articles alongside ratings by Faculty members of F1000 could help to reveal the hidden value of some medical papers.     

Patterns of annual citation of highly cited articles and the prediction of their citation ranking: A comparison across subjects

High citation is associated with research quality and consequently findings on highly cited articles are useful to increase understanding of the factors that produce high quality research. This study explores highly cited articles in six subjects, focusing on late citation and peak citation years. Longitudinal citation patterns were found to be highly varied and, on average, different from the remaining articles in each subject. For four of the six subjects, there is a correlation of over 0.42 between the percentage of early citations and total citation ranking but more highly ranked articles had a lower percentage of early citations. Surprisingly, for highly cited articles in all six subjects the prediction of citation ranking of from the sum of citations during their first six years was less accurate than prediction using the sum of the citations for only the fifth and sixth year.