1,720,954 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
Temporal Scales Driving Streamwater in Organic Monomeric Aluminum Variability in the White Mountain National Forest, New Hampshire
No full textInorganic monomeric aluminum (Ali) is toxic to aquatic organisms and while many samples are taken at weekly or monthly intervals, that frequency is likely not high enough to understand temporal variation in certain water quality parameters, like Ali. Land managers often face the difficult task of protecting aquatic organisms from toxic streamwater environments that are nearly impossible to monitor continuously. This study investigated the temporal scales of variability in dissolved Ali at four streams in the White Mountain National Forest in New Hampshire to provide managers and scientists with a better understanding of Ali dynamics. We used data from intensively sampled hydrologic events during 2015 in addition to five to six years of weekly to monthly data. We quantified the proportion of variability attributed to each of three temporal components: multi-year trends, seasonality, and event scale. To do this, we extracted a trend or pattern from each temporal scale, a linear concentration-discharge relationship in the case of hydrologic events, and compared the results quantitatively and objectively. This analysis revealed that seasonality or hydrologic events explain the most variability in Ali, depending on site, while multi-year trends explain only 11% or less of the variability at each site. The amount of Ali variability that remains unexplained after the three temporal scales were accounted for is greater than 50% at each site. We then examined time series of events and hysteresis effects as a method of exploring the remaining variability. This exploratory analysis showed that removing multi-year, seasonal, and concentration-discharge trends minimally reduced variability at the event scale. While the overall concentration-discharge relationship at each site appeared to be linear, the relationships are often non-linear at the event scale. Residual variability may stem from lower frequency sampling being unable to account for more complicated, cyclical patterns seen at finer temporal scales. Results from this study are informative for managers who want to create efficient sampling regimes that will effectively capture a stream’s Ali conditions, but who may not have the time and resources for continuous high-frequency monitoring. If lacking the resources for such intensive monitoring, characterizing a stream’s Ali, based on our results, may be best done with samples across different hydrologic conditions, as well as across during different seasons
Temporal scales driving streamwater in organic monomeric aluminum variability in the White Mountain National Forest, New Hampshire
Get PDFInorganic monomeric aluminum (Ali) is toxic to aquatic organisms and while many samples are taken at weekly or monthly intervals, that frequency is likely not high enough to understand temporal variation in certain water quality parameters, like Ali. Land managers often face the difficult task of protecting aquatic organisms from toxic streamwater environments that are nearly impossible to monitor continuously. This study investigated the temporal scales of variability in dissolved Ali at four streams in the White Mountain National Forest in New Hampshire to provide managers and scientists with a better understanding of Ali dynamics. We used data from intensively sampled hydrologic events during 2015 in addition to five to six years of weekly to monthly data. We quantified the proportion of variability attributed to each of three temporal components: multi-year trends, seasonality, and event scale. To do this, we extracted a trend or pattern from each temporal scale, a linear concentration-discharge relationship in the case of hydrologic events, and compared the results quantitatively and objectively. This analysis revealed that seasonality or hydrologic events explain the most variability in Ali, depending on site, while multi-year trends explain only 11% or less of the variability at each site. The amount of Ali variability that remains unexplained after the three temporal scales were accounted for is greater than 50% at each site. We then examined time series of events and hysteresis effects as a method of exploring the remaining variability. This exploratory analysis showed that removing multi-year, seasonal, and concentration-discharge trends minimally reduced variability at the event scale. While the overall concentration-discharge relationship at each site appeared to be linear, the relationships are often non-linear at the event scale. Residual variability may stem from lower frequency sampling being unable to account for more complicated, cyclical patterns seen at finer temporal scales. Results from this study are informative for managers who want to create efficient sampling regimes that will effectively capture a stream's Ali conditions, but who may not have the time and resources for continuous high-frequency monitoring. If lacking the resources for such intensive monitoring, characterizing a stream's Ali, based on our results, may be best done with samples across different hydrologic conditions, as well as across during different seasons.Electronic Thesis or Dissertatio
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
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
- …
