1,721,092 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
The ORKG R Package and Its Use in Data Science
Full text linkResearch infrastructures and services provide access to (meta)data via user interfaces and APIs. The more advanced services also support access through (Python, R, etc.) packages that users can use in computational environments. For scientific information as a particular kind of research data, the Open Research Knowledge Graph (ORKG) is an example of an advanced service that also supports accessing data from Python scripts. Since many research communities use R as the statistical language of choice, we have developed the ORKG R package to support accessing and processing ORKG data directly from R scripts. Inspired by the Python library, the ORKG R package supports a comparable set of features through a similar programmatic interface. Having developed the ORKG R package, we demonstrate its use in various applications grounded in life science and soil science research fields. As an additional key contribution of this work, we show how the ORKG R package can be used in combination with ORKG templates to support the pre-publication production and publication of machine-readable scientific information, during the data analysis phase of the research life cycle and directly in the scripts that produce scientific information. This new mode of machine-readable scientific information production complements the post-publication Crowdsourcing-based manual and NLP-based automated approaches with the major advantages of unmatched high accuracy and fine granularity
Unterstützung der Manuskripterstellung mithilfe strukturiertem wissenschaftlichem Wissen
Full text linkIn den letzten Jahren ist die Anzahl veröffentlichter wissenschaftlicher Publikationen stark angestiegen. Da die meisten Veröffentlichungen in schriftlicher Form vorliegen, können gesammelte Ergebnisse nur schwer von Maschinen verwendet werden. Auch der Vergleich verschiedener Arbeiten ist zeitintensiv und erfordert ein menschliches Eingreifen. Um diesen Herausforderungen zu begegnen, wurde der Open Research Knowledge Graph (ORKG) entwickelt, um Wissen aus wissenschaftlichen Publikationen in einen maschinenlesbaren Wissensgraphen zu strukturieren. Diese Arbeit untersucht, wie Autoren mithilfe einer Software unterstützt werden können, die passende Visualisierungen generiert, wenn strukturierte Daten eingegeben werden. Ziel ist es, eine Implementierung zu entwickeln, die Autoren dazu anregt, Ergebnisse ihrer wissenschaftlichen Arbeiten in Wissensgraphen wie dem ORKG zu integrieren. Anhand eines im Rahmen dieser Arbeit erstellten Microsoft Word Add-Ins wird gezeigt, wie mithilfe strukturierter Daten und ORKG-Templates Visualisierungen automatisch erstellt werden können. Dabei wurde beobachtet, dass eine solche Umsetzung eine große Unterstützung für den Nutzer sein kann und effiziente Darstellungen generiert werden können. Eine besondere Eigenschaft der generierten Visualisierungen ist, dass sie sich leicht innerhalb des Dokuments verändern lassen, ohne diese neu generieren zu müssen. Trotz der erfolgreichen Ergebnisse sind weitere Anpassungen des implementierten Systems erforderlich, um eine vollständige Unterstützung aller Funktionalitäten und eine ausreichende Menge an Visualisierungen zu gewährleisten.In recent years, the number of published scientific publications has significantly increased. As most publications are only published as an written Manuscript, collected results are challenging for machines to utilize. Additionally comparisons of different works are time-consuming and require human intervention. To address these challenges, the Open Research Knowledge Graph (ORKG) was developed to structure informations from scientific publications into a machine-readable knowledge graph. This Thesis explores how authors can be supported by software that generates appropriate visualizations when structured data is given. The aim is to develop an implementation that encourages authors to integrate results of their scientific work into knowledge graphs like the ORKG. A Microsoft Word Add-In created as a part of this work, demonstrates how visualizations can be automatically generated using structured data and ORKG templates. It was observed that such an implementation can greatly support users and efficiently generate representations. A notable feature of the generated visualizations is their ability to easily be edited within the document without requiring regeneration. Despite the successful results, further adjustments to the implemented system are necessary to ensure full support of all functionalities and a sufficient amount of visualizations
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