1,721,011 research outputs found
Research collaboration and production of excellence:Finland 1995-2009
No full textThis study describes a novel method of assessing credit for authorship and citations received, and argues that conventional bibliometric assessments used for policy development lead to misguided conclusions about how best research is created, and what type policies may promote research excellence. Exploring Finnish research 1995-2009 based on ISI data, we demonstrate that the nature of the Finnish "hot papers" or research frontiers (papers that receive most citations within two years after publication) doesn't correspond with the idealized vision of "high quality research", being highly national and created by relatively small author teams. As such, it also resembles closely research with no impact, i.e. the non-cited papers. These two differ from the "other cited papers", which are authored by larger and highly international teams. While we describe the author team structure and national nature for different cohorts of scientific excellence, our central result is the observation that in terms production of excellence, whole citations created per author, small Finnish author teams are slightly more productive than large international author teams. We discuss at some length the methodological and policy implications of our results, especially as far as they give rise to the suspicion that conventional (Finnish) policy efforts to foster research excellence target the middle-tier papers and target poorly the best papers that resemble closely the worst ones. We also demonstrate how results and conclusions are highly dependent whether research excellence assessment focuses on papers or alternatively researchers. Finally, we consider how "scientific excellence" should be defined and measured in national contexts
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Effects of Research Funding, Gender and Type of Position on Research Collaboration Networks: A Micro-level Study of Cancer Research at Lund University
Get PDFThe aim of this study is to analyse the extent of which different types of research funding, gender and type of position have an effect on the size and density of research collaboration networks. The material consists of 3,306 documents by scientists doing cancer research at Lund University, indexed in the Web of Science databases. The author and address fields were analysed, by studying frequencies and distribution of authors and organizations, and by conducting co-authorship analyses on the organizational level. The results show substantial differences between scientists with funding from the Swedish Cancer Society (SCS) in comparison with those without SCS funding. When comparing men and women, as well as scientists with preclinical positions and those combining clinical and pre-clinical work; there are larger differences between e.g. women with or without SCS funding than between men and women with SCS funding. The general applicability of these results might be limited; they only take one certain kind of funding into account and they analyses are performed on documents coming out of one particular context. In this case, however, the results suggest that research funding have a larger impact on the size and nature of research collaboration networks than gender or type of position
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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