Analysis Of Lotka's Law Of Author Productivity

From Table8 it has found that observed value and expected value of authors and number of publication are totally different from each other, hence Lotka’s Law of Author Productivity does not applicable here.

5.9Types of Documents cited by authors:
In any research work different types of documents are cited by the authors. From this analysis it can be understand whether researcher are mostly focuses on the primary document or in the secondary document.

Table 11 Types of Documents cited by authors

Sl. No
Types of Documents
Number cited
Percentage (%)
1
Journal
1180
7O.20
2
Book
380
22.60
4
Conference Proceedings
63
3.75
5
Report
22
1.31
6
Thesis
8
0.47
7
Source undefined
6
0.36
8
Dictionary
5
0.30
9
Meeting
3
0.18
10
Manuscript
2
0.12
11
others
Findings that have been observed after thorough inspection of all citation are given bellow
1. According to year wise distribution of citations it is found that most of the articles are cited from the year 2007, 2009 and in 2011, another most important findings is that very old document of year 1800 also cited by the researcher in the field of anthropology
2. Nature journal is the most productive journal in Anthropology as it is cited 48 times by the authors, then American Journal of Physical Anthropology is cited 36 times, the journal Science, has been cited 36 times, Journal of Human Ecology is cited 16 times by the researchers of Anthropology. These five journals are contributing 12.97% of total citation. There are 567 journals having less than 2 citations.
3. The journal Advances in Anthropology has self citation it has cited 15 times by the authors.
4. Total 547 journals having 1198 citation and all are plotted into three zones and it is observed that the number of journals in each zone has increased geometrically so in this study Bradford’s Law of Journal Productivity is
Especially, please allow me to dedicate my acknowledgment of gratitude toward the following significant advisors and contributors: First and foremost, I would like to thank Dr. Nivedita Bhattacharyya for her most support and encouragement. She kindly read my paper and offered invaluable detailed advices on grammar, organization, and the theme of the paper. Second, I would like to thank Dr. Bidyarthi Dutta who helps me to know about the basic knowledge on Bibliomatrics. Finally, I sincerely thank to my parents, family, and friends, who provide the advice and financial support. The product of this research paper would not be possible without all of