1,721,010 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
Air quality data of station Congonhas, São Paulo from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
São Paulo's air quality data were downloaded from the website of the official monitoring network (https://qualar.cetesb.sp.gov.br). The data provided correspond to the following stations: Congonhas, Ibirapuera, Ponte dos Remedios, Parque Dom Pedro, and Pinheiros
Air quality data of station Carvajal-Sevillana, Bogotá from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
Bogotá air quality data were provided by the air quality monitoring service of the city's Environmental Agency (http://201.245.192.252:81/). The monitorng stations includes: Carvajal-Sevillana, Centro de Alto Rendimiento-CDAR, Guaymaral, and Tunal
Air quality data of station Guaymaral, Bogotá from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
Bogotá air quality data were provided by the air quality monitoring service of the city's Environmental Agency (http://201.245.192.252:81/). The monitorng stations includes: Carvajal-Sevillana, Centro de Alto Rendimiento-CDAR, Guaymaral, and Tunal
Air quality data of station Ponte dos Remedios, São Paulo from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
São Paulo's air quality data were downloaded from the website of the official monitoring network (https://qualar.cetesb.sp.gov.br). The data provided correspond to the following stations: Congonhas, Ibirapuera, Ponte dos Remedios, Parque Dom Pedro, and Pinheiros
Air quality data of station Puente alto, Santiago from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
Santiago air quality data were downloaded from the website of the official monitoring network (https://sinca.mma.gob.cl). The data provided correspond to the following stations: Cerro Navia, El Bosque, Independencia, La Florida, Las Condes, Parque O'Higgins, Pudahuel, and Puente Alto
Air quality data of station Pinheiros, São Paulo from 2014-2020
No full textWe compiled criteria pollutants from four air quality monitoring stations in Bogotá, eight in Santiago, and five in São Paulo to characterize the impact of emission changes on air quality during the early Coronavirus-imposed lockdown. Time series include hourly measurements (UTC) of ozone (ppbv), nitric oxide (ppbv), nitrogen dioxide (ppbv), carbon monoxide (ppmv), and PM2.5 (microgram per cubic meter), from 1 January 2014 to 1 June 2020.
Specifically, datasets were used to compare the lockdown period (March-May 2020) with the baseline period defined as the multi-year average between 2014 and 2019.
São Paulo's air quality data were downloaded from the website of the official monitoring network (https://qualar.cetesb.sp.gov.br). The data provided correspond to the following stations: Congonhas, Ibirapuera, Ponte dos Remedios, Parque Dom Pedro, and Pinheiros
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