130,437 research outputs found
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
A new construct to measure participation on social networking sites
No full textLangaro, D., Salgueiro, M. D. F., & Rita, P. (2020). Users' brand page participation: A new construct to measure participation on social networking sites. International Journal of Internet Marketing and Advertising, 14(2), 135-151. https://doi.org/10.1504/IJIMA.2020.107658 ---%ABS1%The increasing development of brand presence on social networking sites (SNS) requires new practices for monitoring the results of brands' efforts. The current research proposes that users' exposure to brand-related content by means of participating on brand pages is a key measure to be monitored. This proposition builds on previous studies which relate positive business consequences with users' exposure to brand communications. Despite the relevance of capturing users' participation on brand pages, so far very limited effort has been made to propose a construct for measuring it. Thus, three studies were implemented and a new construct was proposed and validated for internal consistency, unidimensionality and nomological validity.authorsversionpublishe
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Users’ Participation in Facebook Brand Pages and Its Influence on Word-of-Mouth: The Role of Brand Knowledge and Brand Relationship
No full textDue to developments in social media, brands have integrated social networking sites (SNSs) as an important part of their communication mix. This change calls for studies that help to understand the role of SNS in the communication mix through further investigating their effects on brands and acknowledging their influencing triggers. Concerning that, previous studies have associated the use of SNS to effects on word-of-mouth (WoM), with SNS contributing as a tool skilled for generating conversations about the brand. The current study focusses on investigating the triggers of these effects. In previous research, WoM was accepted as being triggered by constructs related to the effects of SNS on increasing users’ knowledge of the brand and improving perceived relationship value. Despite their relevance, studies in SNS so far have not yet explored these approaches in an integrative manner. So researchers and managers could better understand how these dimensions behave in relation to each other in triggering WoM. The current study addresses this research gap, proposing an integrative perspective that combines brand knowledge and brand relationship constructs while investigating the effects of SNS on WoM. Direct and indirect effects are proposed with mediating relations being supported by the theory of reasoned action (TRA) and social exchange theory (SET). Two surveys were implemented, with 203 and 550 valid responses obtained. Results were analyzed using structural equation modelling. Findings support the relevance of brand relationship variables (trust and affective commitment) in influencing WoM, with trust assuming a pivotal role. Moreover, triggers related to brand knowledge also influence WoM, with brand awareness and attitude driving significant effects. Managerial and theoretical implications are discussed
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Physiological and molecular responses in rice, weedy rice and barnyardgrass exposed to supraoptimal temperatures.
No full textA temperatura média global pode aumentar de 0,3 a 4,8 oC até o final do século. Temperaturas supraótimas podem afetar as plantas em diferentes níveis organizacionais, causando alterações morfológicas, fisiológicas, bioquímicas e na expressão de genes, e plantas de arroz, arroz-vermelho e capim-arroz tendem a responder de forma distinta quando submetidas a temperaturas elevadas. Assim, os objetivos do estudo foram determinar as respostas fisiológicas e a expressão dos genes OsAPX2, OsHSP24.15 e OsHSP71.10 em arroz, arroz-vermelho e capim-arroz quando submetidos a temperaturas supraótimas. Para isso, foi conduzido experimento em casa de vegetação, utilizando delineamento completamente casualizado com quatro repetições, em esquema fatorial. O fator A constou de duas temperaturas (25 oC e 40 oC) e o fator B, de três plantas [arroz (Oryza sativa cv. Puitá INTA-CL), arroz-vermelho (Oryza spp.) e capim-arroz (Echinochloa spp.)]. Em geral, a temperatura de 40 oC causa redução na fotossíntese, nas trocas gasosas e no teor de proteínas, além de aumento do estresse oxidativo nas plantas C3 testadas, sem efeito negativo sobre a planta C4 submetida a essa temperatura. Em resposta à alta temperatura, o arroz e arroz-vermelho aumentam a atividade das enzimas APX e SOD e a expressão dos genes OsAPX2, OsHSP24.15 e OsHSP71.10; no capim-arroz, apenas ocorreu aumento na expressão do gene HSP71.10. The global temperature to rise 0.3 to 4.8 oC to century. Supra-optimal temperatures can affect plants at different organizational levels, causing morphological, physiological, biochemical and gene expression alterations. Rice, weedy rice, and barnyardgrass may to response differently when subjected to supra-optimal temperatures. Thus, the aimed at determining the physiological response and expression of the genes APX2, HSP24.15 e HSP71.10 in rice, weedy rice, and barnyardgrass when in to supra-optimal temperatures. A greenhouse experiment was conducted in randomized complete desing with four repetitions, with a factorial combination of temperature x plantas, where: factor A consisted of two temperatures (25 oC and 40 oC); and factor B of three plants [rice (Oryza sativa cv. Puitá INTA-CL), weedy rice (Oryza spp.), and barnyardgrass (Echinochloa spp.)]. The 40 oC temperature, in general, caused a reduction in the photosynthesis parameters and in the protein content, and increased the oxidative stress in C3 plants; no damage was observed in the C4 plant subjected to this temperature. In response to the supra-optimal temperatures, rice and weedy rice increased of APX and SOD activity and the expression of OsAPX2, OsHSP24.15 and OsHSP71.10 genes. Barnyardgrass exposed to supra-optimal temperature do not modify the activity of its antioxidant system and increased the OsHSP71.10 gene expression
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
Investigation of the mechanism of resistance to glyphosate herbicide in hairy fleabane.
No full textThe resistance of weeds to herbicides is a consequence of one or more mechanisms in the plant, responsible for not allowing the herbicide to act properly at the active site
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