1,721,054 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
Computational subtyping of mouse breast tumors
No full textIstraživanja genske ekspresije tumora dojke metodom mikrocipova ukazala su na razlicite
molekularne portrete tumora na temelju kojih ih je moguce klasificirati u pet podtipova s razlicitim
klinickim ishodima: luminalni A, luminalni B, obogaceni receptorom HER2, bazalni
i tip nalik normalnom. PAM50 je molekularni klasifikator nastao reduciranjem proširenog
seta gena na 50 gena koji najznacajnije pridonose prepoznavanju podtipova. U paketu genefu
programskog jezika R implementirani su bioinformaticki algoritmi i genski potpisi za odreivanje
molekularnih podtipova tumora dojke, ukljucujuci i molekularni PAM50 klasifikator.
U ovom diplomskom radu modificiran je algoritam iz paketa genefu kako bi ulazni podaci bili
podaci dobiveni sekvenciranjem RNA umjesto podaci o genskoj ekspresiji dobiveni metodom
mikrocipova i kako bi odredio podtipove mišjih tumora u odnosu na ljudske tumore dojke.
Nadalje, nedavna istraživanja pokazala su da je moguce integrirati mišje i ljudske setove
podataka i tako informacije iz jednog seta koristiti za interpretaciju drugog. U ovom radu
primijenjena je kanonska korelacijska analiza iz paketa Seurat za integraciju mišjih i ljudskih
podataka dobivenih sekvenciranjem RNA tumora dojke i odreeni su podtipovi na temelju
genskog PAM50 seta. Usporeeni su rezultati odreivanja podtipova mišjih tumora dojke
dobiveni paketima genefu i Seurat, i procijenjena je tocnost dvaju neovisnih pristupa odreivanja
podtipova tumora dojke.Studies of gene expression patterns of breast tumors derived from cDNA microarrays reported
their distinctive molecular portraits according to which tumors can be classified into five
intrinsic subtypes with distinct clinical outcomes: luminal A, luminal B, HER2 enriched,
basal and normal-like. PAM50 is a molecular classifier developed by minimizing expanded
intrinsic gene set to the top 50 genes that contribute to distinguishing intrinsic subtypes. The
R/Bioconductor package genefu implements bioinformatics algorithms and gene signatures
for molecular subtyping of breast cancer, including PAM50 molecular classifier. In this
project, an algorithm from package genefu was modified to subtype breast tumors using
RNA-Seq instead of microarray data as an input and then used to subtype RNA sequenced
mouse breast tumors in relation to human tumors. Furthermore, a recent study showed that
human and mouse data can be integrated using canonical correlation analysis from package
Seurat. The motivation for integrating diverse datasets lies in potential to use information
from one dataset for the interpretation of another. In this project canonical correlation
analysis was also used to integrate human and mouse bulk RNA-Seq data based on the set
of PAM50 genes and used to determine intrinsic breast tumor subtypes. Finally, results of
genefu and Seurat subtyping were compared and the performance of the two independent
approaches was assessed
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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