1,720,967 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
ETHNOBOTANICAL STUDIES ON SOME IMPORTANT MEDICINAL PLANTS OF IMPHAL EAST AND WEST DISTRICTS OF MANIPUR, NORTH EAST INDIA
Full text linkAbstract
Imphal East and West are two densely populated districts of Manipur, inhabited by diverse communities. In order to document information on medicinal plants their uses, a survey was conducted in 2014-2018 in various locations within the two districts. During this study it was observed that the traditional healers use several medicinal plants from adjoining forests. They also grow and sell several such plants in their kitchen garden for daily use, both as food and herbal remedies, for common ailments such as cough, cold, dysentery fever etc. Due to over-harvesting, modernization, urbanization, and predominantly jhum cultivation, the importance of such traditional uses of medicinal plants is gradually declining. There is an urgent need to focus on scientific validation, conservation, recognition of plant-based traditional healing, to resurrect this neglected knowledge. Also, immediate attention is required to conserve particular medicinal plants along with traditional knowledge associated with them. Needless to say, there is an overarching need to record the rich indigenous knowledge of medicinal plants of Imphal East and Imphal West Districts of Manipur, before it is too late
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
Nature’s Contribution to Poverty Alleviation, Human Wellbeing and Sustainable Development Goals, 2019–2022
No full textThis dataset was compiled for analyses in the research project ‘Nature's contribution to poverty alleviation, human wellbeing and the SDGs’ (Nature4SDGs) (NERC Grant NE/S012850/1). The dataset integrates secondary data on rural livelihoods, multi-dimensional human wellbeing, household demographics, resource tenure and social-ecological context across 10,971 households in 232 settlements in ten low- and middle-income countries. It primarily draws upon nine existing household surveys, and their associated site descriptions and qualitative interviews. It also draws upon existing global geospatial datasets to provide further village-level information on the social-ecological context.
Using this dataset, the Nature4SDGs project is specifically examining multidimensional wellbeing from the use of uncultivated nature; the role of common pool uncultivated resources in reducing income inequalities; and the consumption of wild protein across different social-ecological contexts.Agreed in 2015 by all the countries of the United Nations, the 17 Sustainable Development Goals (SDGs), and their subsidiary targets and indicators, represent a blueprint for enabling humanity to achieve a more sustainable future, one in which all people are able to flourish in peace and prosperity while still protecting the environment on which we all depend. For the SDGs to succeed, we need to be able to (a) measure the progress of relevant indicators and (b) understand which policies and interventions can effectively lead to progress in different indicators. Governments are now starting to report annually on the set of 230 indicators originally identified. However, there is concern that there may be trade-offs between some of the SDGs, e.g. 1 (no poverty) and 15 (life on land). For example, the 2018 SDG report highlights that, despite progress on many fronts, increasing land degradation - caused by competing pressures for food, energy and shelter - threatens the livelihoods of over 1 billion people.
To turn trade-offs into synergies, it is important to understand the relationship between nature and people's wellbeing and how this varies for different types of people in varied places. In many cases, marginalised people, whether the poorest or women, have different relationships with nature that are not well represented by data aggregated at national level. For example, improvements in national-level food security indicators may hide the fact that the poorest are getting hungrier. Therefore, to fulfil the SDG's overarching aim to 'leave no-one behind', we need to understand how nature-wellbeing relationships are experienced by marginalised groups so that appropriate policies can be put in place that support everybody.
This project will significantly improve our understanding of the complex interactions between people and the environment required to make progress in achieving the SDGs, focusing particularly on SDGs 1 (no poverty), 2 (zero hunger), 10 (reduced inequalities) and 15 (life on land). Our objectives are to: (i) assess the contribution of nature to multidimensional human wellbeing at local level, focusing specifically on the experience of the poorest; (ii) analyse the policies and contextual factors at various scales which drive the observed relationships between nature and wellbeing; and (iii) determine how well local, socially disaggregated nature-wellbeing relationships are reflected in national-level and modelled data used to report on the SDGs. To do this, we will draw on recent data sets from seven projects in the Ecosystem Services for Poverty Alleviation programme and one closely aligned project. These fine-grained social-ecological data sets combine quantitative household survey data with qualitative contextual data from 11 sites in the Global South with varied levels of intervention and degradation.
Combining data from these different sites provides us with the unique opportunity to deliver new insights into the contribution of nature to human wellbeing at local level, and how this is influenced by different biophysical, socio-economic and policy factors. Practically, our cross-site comparison will improve understanding of how key policies (particularly related to conservation and agriculture) affect the nature-wellbeing relationship. Furthermore, by drawing on advances in other projects in which we are engaged, we can review how well the local-level nature-wellbeing relationship is reflected in national-level data, thus providing the basis for improving the choice of sustainable development indicators. Additionally, by engaging with policy-makers in the countries where the original data were collected, and particularly in India - where we will have more in-depth impact activities - this project may contribute to more appropriate environment-related policies and interventions which ensure that no-one is left behind.</p
Nature’s Contribution to Poverty Alleviation, Human Wellbeing and Sustainable Development Goals, 2019–2022
No full textThis dataset was compiled for analyses in the research project ‘Nature's contribution to poverty alleviation, human wellbeing and the SDGs’ (Nature4SDGs) (NERC Grant NE/S012850/1). The dataset integrates secondary data on rural livelihoods, multi-dimensional human wellbeing, household demographics, resource tenure and social-ecological context across 10,971 households in 232 settlements in ten low- and middle-income countries. It primarily draws upon nine existing household surveys, and their associated site descriptions and qualitative interviews. It also draws upon existing global geospatial datasets to provide further village-level information on the social-ecological context.
Using this dataset, the Nature4SDGs project is specifically examining multidimensional wellbeing from the use of uncultivated nature; the role of common pool uncultivated resources in reducing income inequalities; and the consumption of wild protein across different social-ecological contexts.Agreed in 2015 by all the countries of the United Nations, the 17 Sustainable Development Goals (SDGs), and their subsidiary targets and indicators, represent a blueprint for enabling humanity to achieve a more sustainable future, one in which all people are able to flourish in peace and prosperity while still protecting the environment on which we all depend. For the SDGs to succeed, we need to be able to (a) measure the progress of relevant indicators and (b) understand which policies and interventions can effectively lead to progress in different indicators. Governments are now starting to report annually on the set of 230 indicators originally identified. However, there is concern that there may be trade-offs between some of the SDGs, e.g. 1 (no poverty) and 15 (life on land). For example, the 2018 SDG report highlights that, despite progress on many fronts, increasing land degradation - caused by competing pressures for food, energy and shelter - threatens the livelihoods of over 1 billion people.
To turn trade-offs into synergies, it is important to understand the relationship between nature and people's wellbeing and how this varies for different types of people in varied places. In many cases, marginalised people, whether the poorest or women, have different relationships with nature that are not well represented by data aggregated at national level. For example, improvements in national-level food security indicators may hide the fact that the poorest are getting hungrier. Therefore, to fulfil the SDG's overarching aim to 'leave no-one behind', we need to understand how nature-wellbeing relationships are experienced by marginalised groups so that appropriate policies can be put in place that support everybody.
This project will significantly improve our understanding of the complex interactions between people and the environment required to make progress in achieving the SDGs, focusing particularly on SDGs 1 (no poverty), 2 (zero hunger), 10 (reduced inequalities) and 15 (life on land). Our objectives are to: (i) assess the contribution of nature to multidimensional human wellbeing at local level, focusing specifically on the experience of the poorest; (ii) analyse the policies and contextual factors at various scales which drive the observed relationships between nature and wellbeing; and (iii) determine how well local, socially disaggregated nature-wellbeing relationships are reflected in national-level and modelled data used to report on the SDGs. To do this, we will draw on recent data sets from seven projects in the Ecosystem Services for Poverty Alleviation programme and one closely aligned project. These fine-grained social-ecological data sets combine quantitative household survey data with qualitative contextual data from 11 sites in the Global South with varied levels of intervention and degradation.
Combining data from these different sites provides us with the unique opportunity to deliver new insights into the contribution of nature to human wellbeing at local level, and how this is influenced by different biophysical, socio-economic and policy factors. Practically, our cross-site comparison will improve understanding of how key policies (particularly related to conservation and agriculture) affect the nature-wellbeing relationship. Furthermore, by drawing on advances in other projects in which we are engaged, we can review how well the local-level nature-wellbeing relationship is reflected in national-level data, thus providing the basis for improving the choice of sustainable development indicators. Additionally, by engaging with policy-makers in the countries where the original data were collected, and particularly in India - where we will have more in-depth impact activities - this project may contribute to more appropriate environment-related policies and interventions which ensure that no-one is left behind.</p
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
- …
