Written by Electronic Physician
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Next update of the comprehensive statistics is scheduled to be published on this page in July 2019
In June 2015, the journal conducted a research on the statistics of the time periods between ‘submission to acceptance’ of manuscripts and ‘acceptance to publication’ of manuscripts in past years. The records and archives of the journal were checked, and only the records for 2014 and 2015 were included in this research due to the lack of availability of comparable information in the earlier years.
According to the data obtained from all of the valid information about our published articles during 2014 and 2015, the mean time between the submission and acceptance of a manuscript was 96 days, which became 78 days after the outliers were removed. However, in the first half of 2015 (January through June, Issues 1 and 2), the mean time was reduced significantly to 71 days, which became 39 days after removing the outliers.
In 2014, the mean time between acceptance and publication of a manuscript was 35 days, which became 32 days after removing the outliers. In 2015, the mean time was 59 days, which became 55 days after removing the outliers.
According to our data, the main factor that determines the time between submission and acceptance is the time the authors use to prepare the revisions of their manuscript based on the comments and suggestions of our reviewers. However, there were two main factors that determined the time between acceptance and publication of manuscripts in 2014 and 2015, i.e., 1) the time authors take to revise their manuscripts based on our English editor's suggestions and comments and to revise the reference section based on input from our quality control technicians and 2) the limited number of issues published each year, which currently is four issues.
Electronic Physician Journal
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Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: