Scientometrics is the study of measuring and analyzing of science publication. Scientometric is often called as bibliometric. It has been originated from Russia. The scientific paper or text not only reveals the world building strategy of its authors, but also the nature and force of the building blocks derived from the domain of science from which it draws and to which it contributes (Gupta and Kumar, 2001). Bibliometrics offer a set of measures for studying the structure and process of scholarly communication (Gupta, and Kumar, 2001). One of its main indicators is the number of published articles or science production in specific field of science. The cancer is one of the most emerging area in the field of medical sciences and there is dearth need of research. Hence, an attempt has been made to carry out the present research.
In the last few decades the field of Library and Information Science (LIS) has developed several quantitative methods for analysis. As Library and Information Science is a widely interdisciplinary field (Nisonger & Davis, 2005), academics from various disciplines (including LIS) have played a vital role development of its methods. Often scientists with different background from Library and Information Science, like Tibor Braun (Chemistry) or Vasily Nalimov (Philosophy), have contributed important concepts. The suffix 'metrics' is "derived either from the Latin or Greek word "metricus" or "metrikos" respectively, means measurement" (Sengupta, 1992). To date Several different metric fields that deal with the development and Application of measurement in the area of Information Science has emerged, such as Librametirics, Bibliometrics, Scientometrics, Informetrics, and more recently Webometrics and Altmetrics. However, all these fields are closely related, especially Bibliometrics, Informetrics and Scientometrics, and shows significant overlap.
Nowadays in all area of research we are observing collaborative research, "Collaborative research", is any research in which two or more researchers work together toward a common target, and in which all of the researchers make an important, equal contribution to the project. Not counted as researchers are people who provide assistance but do not make equal contribution; for example, someone who is hired to transcribe interviews but makes no other contribution to the research is not considered a part of the collaborative team. The focus is on aspects of collaborative research that are unregulated. Here in this paper an attempt is made to observe collaborative research in the area of Lung Cancer.
The term lung cancer is used for tumors arising from the respiratory epithelium (bronchi, bronchioles, and alveoli).
A review of the history of lung cancer shows that about a century and a half ago, lung cancer was an extremely rare disease. Lung cancer has been known in industrial workers from the late 19th century. It came into prominence as a public health problem in the Western world in 1930s--at first in men, and later (in 1960s) among women. The causes of increase in lung cancer incidence were thought to have included increased air pollution, cigarette smoking, asphalting of roads, increase in automobile traffic, exposure to gas in World War I, the influenza pandemic of 1918 and working with benzene or gasoline. Duration of the disease, from diagnosis until death, was usually from half a year to 2 years and in practically all cases, there had been a long history of chronic bronchitis. According to WHO reports, between 1960 and 1980, the death rate due to lung cancer increased by 76% in men and by 135% in women.
The American Lung Association is committed to funding lung cancer research. As part of our Awards and Grants Program over 20% of funds go towards research on the prevention and treatment of lung cancer. The primary goal of this lung cancer research program is simple: To improve and save lives. Yet, the secondary goal is just as important: To fund top-notch lung cancer researchers at important crossroads of their careers to gain long-term
About PubMed database:
"PubMed is a free resource developed and maintained by the national Centre for Bio-technology Information (NCBI), a division of USA National Library of Medicine (NLM), at the National Centre Institutes of Health (NIH). PubMed comprises over 22 million citations and abstracts for biomedical literature indexed in NLM's MEDLINE database, as well as from other life science journals an online books. PubMed citations and abstracts include the fields of biomedicine and health, and cover portions of life sciences, behavioral sciences, chemical, and bioengineering. PubMed also provides access to additional relevant website and links to other NBI resources, including its various molecular biology databases." [www.ncbi.nlm.nih.gov, Retrieved on 12.30 PM 10/07/2017]. In the present study an attempt has been made to explores the research productivity in the field of Lung Cancer for the period of 20 years i.ee 1997 to 2016.
Statement of the problem
The present study is "Authorship Trend and Collaborative Research in Lung Cancer: A time series analysis study."
To know the year wise distribution, growth rate, doubling time of publication in the field of Lung cancer (1997 to 2016).
To find out the trend in Author Productivity in the field of Lung Cancer.
To identify the Degree of Collaboration in the field of Lung Cancer.
To study the Collaborative co-efficient and moderate co-efficient and collaborative index in the field of Lung Cancer Literature
To study the implication of Lotka's law in the area of Lung Cancer.
To apply the time series analysis to predict the trend of research in the area of Lung Cancer with respective to authorship pattern.
The trends of publication a type relating to Clinical Medicine based on the MEDLINE database has been analyzed through Correspondence Factor Analysis (CFA), which reveals that internal clock of the database was Broadly consistent. However there were periods of erratic activity. Ramakrishnan and Ramesh Babu (2007) 46 presented a bibliometric analysis of the literature output in the field of Hepatitis covered in three bibliographic databases namely MEDLINE, CINAHL and IPA. In the field of Hepatitis literature covered in three databases for the period 1984-2003 was considered. MEDLINE covered the maximum records followed by CINAHL and IPA databases.
Bibliometric analysis of global malaria vaccine research was carried out by Garg et al. (2009) 49 using PubMed database for the period 1972-2004. This study examined the pattern of growth of the output, it's geographical Distribution, profile of different countries in different subfields and pattern of citations using GOOGLE Scholar.
Hadagali and Anandhalli (2015) have revealed that the growth of neurology literature for the period 1961-2010. A total of 291702 records were collected from the Science Direct Database for fifty years. The Relative Growth Rate (RGR) and Doubling Time (Dt) of neurology literature have been calculated, supplementing with different growth patterns to check whether neurology literature fits exponential, linear and logistic model. The result of the study indicates that the growth of literature in neurology does not follow the linear or logistic model. However, it follows closely the exponential growth model. The study concludes that there has been a consistent trend towards increased growth of literature in the field of neurology.
Neelamma and Gavisiddappa Anandhalli (2016) have highlighted the research collaboration and...