1,720,976 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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
A comprehensive evaluation of explainable Artificial Intelligence techniques in stroke diagnosis: A systematic review
Full text linkStroke presents a formidable global health threat, carrying significant
risks and challenges. Timely intervention and improved outcomes hinge on the
integration of Explainable Artificial Intelligence (XAI) into medical decision making. XAI, an evolving field, enhances the transparency of conventional
Artificial Intelligence (AI) models. This systematic review addresses key research
questions: How is XAI applied in the context of stroke diagnosis? To what extent can
XAI elucidate the outputs of machine learning models? Which systematic evalua tion methodologies are employed, and what categories of explainable approaches
(Model Explanation, Outcome Explanation, Model Inspection) are prevalent We
conducted this review following the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) guidelines. Our search encompassed five
databases: Google Scholar, PubMed, IEEE Xplore, ScienceDirect, and Scopus, span ning studies published between January 1988 and June 2023. Various combinations
of search terms, including “stroke,” “explainable,” “interpretable,” “machine learn ing,” “artificial intelligence,” and “XAI,” were employed. This study identified 17
primary studies employing explainable machine learning techniques for stroke diagnosis. Among these studies, 94.1% incorporated XAI for model visualization,
and 47.06% employed model inspection. It is noteworthy that none of the studies
employed evaluation metrics such as D, R, F, or S to assess the performance of their
XAI systems. Furthermore, none evaluated human confidence in utilizing XAI for
stroke diagnosis. Explainable Artificial Intelligence serves as a vital tool in enhan cing trust among both patients and healthcare providers in the diagnostic process.
The effective implementation of systematic evaluation metrics is crucial for harnes sing the potential of XAI in improving stroke diagnosi
Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review
Full text linkd Electronic health record (EHR) systems
are mentioned in several studies as tools for improving
healthcare quality in developed and developing nations.
However, there is a research gap in presenting the status
of EHR adoption in low-income countries (LICs). Therefore,
this study systematically reviews articles that discuss
the adoption of EHR systems status, opportunities and
challenges for improving healthcare quality in LICs.
Methods We used Preferred Reporting Items for
Systematic Reviews and Meta-Analyses in articles selected
from PubMed, Science Direct, IEEE Xplore, citations and
manual searches. We focused on peer-reviewed articles
published from January 2017 to 30 September 2022, and
those focusing on the status, challenges or opportunities
of EHR adoption in LICs. However, we excluded articles
that did not consider EHR in LICs, reviews or secondary
representations of existing knowledge. Joanna Briggs
Institute checklists were used to appraise the articles to
minimise the risk of bias.
Results We identified 12 studies for the review. The
finding indicated EHR systems are not well implemented
and are at a pilot stage in various LICs. The barriers to EHR
adoption were poor infrastructure, lack of management
commitment, standards, interoperability, support,
experience and poor EHR systems. However, healthcare
providers’ perception, their goodwill to use EMR and the
immaturity of health information exchange infrastructure
are key facilitators for EHR adoption in LICs.
Conclusion Most LICs are adopting EHR systems,
although it is at an early stage of implementation. EHR
systems adoption is facilitated or influenced by people,
environment, tools, tasks and the interaction among these
factors
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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