Research Publication: An Intrinsic Guide for Ph.D. Scholars

2020 ◽  
Author(s):  
Soma Biswas
Keyword(s):  
Research Publication

The Association of Pediatric Critical Care Medicine Training Programs with Research Publication Productivity and Employment Outcomes of Their Graduates

2020 ◽  
Author(s):  
Sonali Basu ◽  
Robin Horak ◽  
Murray M. Pollack
Keyword(s):  
Critical Care ◽  
Intensive Care ◽  
Medical School ◽  
Training Programs ◽  
Fellowship Training ◽  
Publication Productivity ◽  
Research Publication ◽  
Pediatric Critical Care ◽  
Publication Success ◽  
Fellowship Programs

AbstractOur objective was to associate characteristics of pediatric critical care medicine (PCCM) fellowship training programs with career outcomes of PCCM physicians, including research publication productivity and employment characteristics. This is a descriptive study using publicly available data from 2557 PCCM physicians from the National Provider Index registry. We analyzed data on a systematic sample of 690 PCCM physicians representing 62 fellowship programs. There was substantial diversity in the characteristics of fellowship training programs in terms of fellowship size, intensive care unit (ICU) bed numbers, age of program, location, research rank of affiliated medical school, and academic metrics based on publication productivity of their graduates standardized over time. The clinical and academic attributes of fellowship training programs were associated with publication success and characteristics of their graduates' employment hospital. Programs with greater publication rate per graduate had more ICU beds and were associated with higher ranked medical schools. At the physician level, training program attributes including larger size, older program, and higher academic metrics were associated with graduates with greater publication productivity. There were varied characteristics of current employment hospitals, with graduates from larger, more academic fellowship training programs more likely to work in larger pediatric intensive care units (24 [interquartile range, IQR: 16–35] vs. 19 [IQR: 12–24] beds; p < 0.001), freestanding children's hospitals (52.6 vs. 26.3%; p < 0.001), hospitals with fellowship programs (57.3 vs. 40.3%; p = 0.01), and higher affiliated medical school research ranks (35.5 [IQR: 14–72] vs. 62 [IQR: 32, unranked]; p < 0.001). Large programs with higher academic metrics train physicians with greater publication success (H index 3 [IQR: 1–7] vs. 2 [IQR: 0–6]; p < 0.001) and greater likelihood of working in large academic centers. These associations may guide prospective trainees as they choose training programs that may foster their career values.

Genetic Diversity Research Publication Output in India: A Scientometric Analysis

2018 ◽  
Vol 8 (3) ◽  
pp. 98-102
Author(s):  
Jyothi G. Nair ◽  
S. Raja
Keyword(s):  
Genetic Diversity ◽  
Publication Output ◽  
Scientometric Analysis ◽  
Research Publication ◽  
Citation Pattern ◽  
Authorship Pattern ◽  
Collaboration Pattern ◽  
Single Authorship ◽  
Institutional Status ◽  
Diversity Research

This paper attempts a scientometric analysis of literature in the field of genetic diversity in India over 5 years (2013-2017). A total of 1417 records and 5960 unique authors are identified. The study characterizes growth output, Authorship pattern, Collaboration pattern, Citation pattern, institutional status etc. Many of the publications have received worldwide attention of various researchers, policymakers, and planners. The number of papers was maximum in the year 2016. Average publication per year is 283. Multi-authored papers dominated over single authorship. The study was analysed by using HistCite software.

Research Paper Influence Measurement and Applications: A Machine-Learning-Based Approach

2014 ◽  
Vol 1049-1050 ◽  
pp. 2073-2078
Author(s):  
San Shan Du ◽  
Yue Chun Wu
Keyword(s):  
Machine Learning ◽  
Graph Theory ◽  
Academic Research ◽  
Meaningful Work ◽  
Citation Network ◽  
Citation Networks ◽  
Research Publication ◽  
American Airline ◽  
Airline Network ◽  
Influence Measurement

Measuring the influence of academic research publication is an meaningful work in academe. In this paper, the co-author and the citation networks are built to calculate the influence of a researcher and a paper in the way of networks separately with the discussion of further applications. At the beginning, the co-author network is built to determine the influence of co-authors. Then, based on the citations among the papers in the database, we build up the citation network with the help of graph theory. Thirdly, the method is implemented with the application of American Airline network analysis. As the final, the analysis of strengths and weaknesses is conducted.

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