Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Authorship Pattern and Research Collaboration of Journal of Informetrics

The study highlights the authorship pattern and research collaboration in the area of Informetrics based on 420 scholarly communications appeared in the Journal of Informetrics during 2007 to 2013. Study illustrates various significant aspects like –types and trends of authorship, author productivity, degree of collaboration,collaborative index, geographical diffusion and institutional diversification of authorship. Findings suggest tangible growth of Informetrics literature over the years with predominantly multi-authored contributions. Result also show that Informetrics research is unevenly scattered among 251 institutions from 38 countries around the globe

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact

Knowledge regarding diabetes among expectant mothers attending ante natal clinic of a tertiary care institution of Kolkata: a cross sectional study

Background: Prevalence of gestational diabetes (GDM) has increased tremendously in India. Prevention of the condition is possible through health education. However, knowledge regarding diabetes is poor among Indian women. Thus, examining the basic knowledge regarding diabetes among expectant mothers is necessary to identify areas of deficit.Methods: An observational, analytical study of cross-sectional design was undertaken to assess the knowledge regarding diabetes among 173 expectant mothers attending the ante-natal clinic of R. G. Kar Medical College, Kolkata using a pre tested schedule.Results: Mean score of the respondents were less than 3 out of 8 which was a poor score. The overall mean diabetic score was similar for the antenatal mothers irrespective of the number of pregnancy (p=0.3154) but the score was greater than that for the non-pregnant women (p=0.0000). The expectant mothers showed better response compared to the controls when asked whether a person can have diabetes but be unaware of the condition; whether diabetes can harm a person’s body before diagnosis; long term complications of the disease(P0.05). The pregnant women had less reported leisure time physical exercise and first degree relative with diabetes (p<0.05).Conclusions: Mean knowledge score of the expectant mothers was more than the women controls though the overall score was poor. A structured awareness program is urgently needed which would first address diabetes in general and then the specifics of GDM

Anesthetic management of a patient with situs inversus posted for laparoscopic cholecystectomy

Situs inversus totalis is a rare congenital visceral malrotation anomaly that results from disturbances in establishment of left-right asymmetry. It is an autosomal recessive condition, in which organs are transposed from their normal location to the opposite side of the body and the predicted incidence is one in 10, 000 among the general population. In a patient with situs inversus totalis, not just the diagnosis of any acute abdomen pathology is difficult but equally challenging is the anesthetic management during the respective surgical procedure. We are reporting a patient who had situs inversus totalis and was operated for laparoscopic cholecystectomy under general anesthesia, and endotracheal tube as an airway conduit. Though the problems related to such patients are mainly of surgical feasibility, an anesthesiologist must be aware of the associated problems of both, situs inversus and the surgical procedures. The present case report lays an emphasis on the potential difficulties during anesthetic management and its various implications in a remote area in North East India with resource limitations. To the best of our knowledge, we report the first case from a remote are in North East India of a successful laparoscopic cholecystectomy in a patient with situs inversus totalis under general anesthesia which was uneventful

A sustainability impact-assessment tool for selected building technologies in rural India :the case of the Andhra Pradesh primary education project

PhD ThesisThe United Nations Commission on Environment and Development, AGENDA 21, The Millennium Development Goals, etc. indicate that there is a worldwide concern for sustainable development. Construction is an essential human activity in development programmes. It is an important component of sustainable development. The decision makers should examine every constructon projectb efore it is implemented.T herefore,t here is a need for an assessmentt ool to examinet he sustainabilityi mpactso f construction.T he existinga ssessmentm ethodsw ere found to be mostly based on environmental sustainability and thus, there was a need for developing an assessment tool, taking into account the social and economic issues also. The data and experience of the primary school construction project in a rural district of Andhra Pradesh (India) was adopted as a basis of assessment tool development The aim of this dissertation was to provide an impact assessment tool for the decision makers to select sustainable building construction technologies in the context of social infrastructure developmenti n rural India. It also aimed to demonstrateh ow to calculatet he socio-economica nd environmentailm pactst hrought he use of differentw alling and roofingc onstructiont echnologies. The dissertation's objectives were to examine the efficacy of the primary school construction project in Andhra Pradesh as a base for developing an impact assessment tool, to develop a process of calculation and determining the actual values of the socio economic and environmental impacts of selected building technologies, to demonstrate the selection process of the combination of walling and roofing technologies having optimum life cycle socio-economic and environmental impacts, to demonstrate the effect of weights on the selection process and to enable decision makers to develop databases on new construction and life cycle impacts in other contexts and to select sustainable building construction technologies.Department For International Development (DFID) India

Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective

Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have contributed about 66% of the total authors and about 55% of the total affiliated institutions. Indicates few numbers of countries has substantial participation to statistical science research, while large majority has nominal contributions. Of which, USA contributes the most (31%) followed by India, Canada, France and Japan. Result therefore indicates presence of ‘sort of ‘clique’ with dominant foreign coauthors. Further analysis reveals that, unilateral collaboration dominates at the country level whereas at the institution level bilateral collaboration dominates - implies authors from two different institutions of same country are key contributors of this specialty. Indian Statistical Institute (native institute of the source journal) found to be the most productive institution. Study therefore signifies skewed distribution of co-authorship with limited evidence of cross-country collaboration. Furthermore, Google Scholar citation analysis showed that collaboration has significant positive influence on the article impact