1,721,017 research outputs found
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
Harnessing Ultraviolet Light to Generate Virtual Histopathology
No full textCancer is one of the leading causes of death worldwide. In dealing with solid cancers, the recommended treatment is often surgery, where the cancerous tissue is surgically resected from the patient while conserving as much healthy tissue as possible. During tumor resection operations, surgeons are currently unable to assess the extent of tumor outside of visual or tactile feedback. Consequently, postoperative analysis of resected specimens is required to ensure the complete removal of the tumor. The gold standard for tissue analysis involves formalin-fixation, paraffin-embedding, and sectioning of tissues before being stained with hematoxylin and eosin (H&E) and then imaged using white light brightfield microscopy. Unfortunately, these tissue processing steps are both time consuming and labor intensive and thus cannot be performed intraoperatively to provide direct feedback to surgeons. Hence, in cases where can- cerous tissues are missed, patients must undergo secondary surgeries which leads to unnecessary emotional and physical trauma for the patients, as well as higher risks of worsened prognosis, in addition to a greater economic burden on the healthcare system. Accordingly, there is an unmet need to develop technologies that are capable of providing tissue analysis, comparable to the gold standard, within intraoperative time frames. Here we report the progress of developing such technologies starting from first better characterizing photoacoustic remote sensing (PARS) mechanisms and generating a more reliable ultraviolet source for PARS microscopy. Next, PARS microscopy is utilized in conjunction with ultraviolet (UV) scattering microscopy to generate virtual H&E histology. By introducing deep learning, this work is then expanded to convert two-channel PARS and UV scattering images into a single maximally realistic H&E virtual histology image that is best suited to pathologist interpretation. Through pathologist reader studies, this approach was found to achieve sensitivity and specificity values of 0.96 and 0.91 in breast tissues and 0.87 and 0.94 in prostate tissues, respectively, while also being preferred overall in comparison to frozen section analysis. Moreover, quantitative metric analysis showed strong agreement between this virtual histology technique and the gold standard. This deep learning-enabled virtual histology approach is then extended to generating additional structural and metabolic contrast in tissues by collecting inherent autofluorescence emission generated by the UV excitation. Optical redox ratio (ORR) is measured in tissue samples, supplementing virtual histology with key insights into tissue metabolism. ORR measurements are validated in both cell cultures and tissues, and in consultation with pathologists are found to provide useful diagnostic guidance. Lastly, deep learning is utilized in conjunction with UV excited autofluorescence, DRAQ5 fluorescence and UV reflectance contrast to focus on generating virtual histology label-free in freshly excised tissues using only a single UV excitation wavelength. Overall, given the rapid image acquisition times, high resolution, tight depth sectioning, capability in imaging freshly excised tissues, and realistic virtual histology output generated, this work has a real potential to find a place in providing intraoperative guidance to surgeons during tumor resection surgeries
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
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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