| title | subtitle | author | date | output | ||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bibliographic Studies |
Sources Used For Analysis |
Serdar Balcı, MD, Pathologist |
2018-03-28 |
|
It is a very common bibliometric study type to retrospectively analyse the number of peer reviewed articles written from a country to view the amount of contribution made in a specific scientific discipline.
These studies require too much effort, since the data is generally behind paywalls and restrictions.
I have previously contributed to a research to identify the Articles from Turkey Published in Pathology Journals Indexed in International Indexes; which is published here: Turk Patoloji Derg. 2010, 26(2):107-113 doi: 10.5146/tjpath.2010.01006
This study had required manual investigation of many excel files, which was time consuming; also redoing and updating the data and results require a similar amount of effort.
In order to automatize these type of analysis in a reproducable fashion, I will be using
R Markdown , R Notebook , Shiny and Terminal for coding. I also plan to use other bibliographic tools like VOSviewer.
Data will be retrieved from PubMed, E-direct, WoS and Google Scholar.
Using the Healthcare Natural Language API
If you want to see the code used in the analysis please click the code button on the right upper corner or throughout the page.
I would like to hear your feedback: https://goo.gl/forms/YjGZ5DHgtPlR1RnB3
This document will be continiously updated and the last update was on 2018-03-28.
Serdar Balcı, MD, Pathologist would like to hear your feedback: https://goo.gl/forms/YjGZ5DHgtPlR1RnB3
This document will be continiously updated and the last update was on 2018-03-28.