1,720,985 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
Eksploratiivisia menetelmiä genomitiedon analysointiin – sovelluskohteena ihmisen endogeeniset retrovirukset
No full textIn this thesis exploratory data analysis methods have been developed for analyzing genomic data, in particular human endogenous retrovirus (HERV) sequences and gene expression data. HERVs are remains of ancient retrovirus infections and now reside within the human genome. Little is known about their functions. However, HERVs have been implicated in some diseases. This thesis provides methods for analyzing the properties and expression patterns of HERVs.
Nowadays the genomic data sets are so large that sophisticated data analysis methods are needed in order to uncover interesting structures in the data. The purpose of exploratory methods is to help in generating hypotheses about the properties of the data. For example, by grouping together genes behaving similarly, and hence presumably having similar function, a new function can be suggested for previously uncharacterized genes. The hypotheses generated by exploratory data analysis can be verified later in more detailed studies. In contrast, a detailed analysis of all the genes of an organism would be too time consuming and expensive.
In this thesis self-organizing map (SOM) based exploratory data analysis approaches for visualization and grouping of gene expression profiles and HERV sequences are presented. The SOM-based analysis is complemented with estimates on reliability of the SOM visualization display. New measures are developed for estimating the relative reliability of different parts of the visualization. Furthermore, methods for assessing the reliability of groups of samples manually extracted from a visualization display are introduced.
Finally, a new computational method is developed for a specific problem in HERV biology. Activities of individual HERV sequences are estimated from a database of expressed sequence tags using a hidden Markov mixture model. The model is used to analyze the activity patterns of HERVs.Väitöskirjassa on kehitetty eksploratiivisia data-analyysimenetelmiä genomiaineistojen analysointiin, keskittyen erityisesti ihmisen endogeenisiin retrovirussekvensseihin ja geeniekspressioaineistoihin. Ihmisen endogeeniset retrovirukset (human endogenous retrovirus, HERV) ovat muinaisten retrovirusinfektioiden jäänteitä ja ovat nyt osa ihmisen genomia. HERV:eistä tiedetään kovin vähän, mutta niille on löytynyt yhteyksiä joihinkin sairauksiin. Tämä työ tarjoaa menetelmiä HERV:ien ominaisuuksien ja aktivoitumisen tutkimiseen.
Nykyään genomiaineistot ovat niin suuria, että tarvitaan kehittyneitä data-analyysimenetelmiä datan mielenkiintoisten rakenteiden löytämiseksi. Eksploratiivisten menetelmien tehtävä on auttaa luomaan hypoteeseja datan ominaisuuksista. Esimerkiksi ryhmittelemällä geenit samoin käyttäytyvien, ja oletettavasti saman funktion omaavien, geenien ryhmiin voidaan ehdottaa funktio toiminnaltaan ennestään tuntemattomalle geenille. Eksploratiivisen data-analyysin avulla muodostetut hypoteesit voidaan myöhemmin varmistaa yksityiskohtaisempien kokeiden avulla. Sen sijaan yksityiskohtainen analyysi olisi liian hidasta ja kallista suorittaa kaikille geeneille.
Työssä esitetään itseorganisoituvaan karttaan (self-organizing map, SOM) pohjautuvia eksploratiivisia data-analyysimenetelmiä geeniekspressioprofiilien ja ihmisen endogeenisten retrovirussekvenssien visualisointiin ja ryhmittelyyn. SOM-pohjaista lähestymistapaa täydennetään karttavisualisoinnin luotettavuutta arvioivin menetelmin. Uusia mittareita on kehitetty visualisoinnin eri osien suhteellisen luotettavuuden arviointiin. Lisäksi työssä on esitetty menetelmiä, joiden avulla voidaan arvioida käsin kartalta eroteltujen ryhmien luotettavuutta.
Työssä on kehitetty uusi laskennallinen menetelmä tietyn HERV:ien biologiaan liittyvän ongelman ratkaisemiseksi. Yksittäisten HERV-sekvenssien aktiivisuustasot pystytään menetelmän avulla estimoimaan ekspressoituneita sekvenssejä listaavista tietokannoista. Uusi menetelmä pohjautuu piilo-Markov-sekoitemalleihin. Työssä sitä käytetään HERV:ien ekspressioprofiilien estimoimisessa ja analysoimisessa.reviewe
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
Geeniekspressiotiedon louhinta itseorganisoivien karttojen ja oppivien metriikoiden avulla
No full text
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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