Journal of Pathology Informatics Acceptance Rate

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Acceptance Rate is not available for Journal of Pathology Informatics, or not provided by Journal of Pathology Informatics

The acceptance rate is a way to ascertain the level of prestige a journal carries. An article when submitted for publishing is vehemently scrutinized and goes through very heavy testing such as peer-reviewing. Many prestigious journals such as Journal of Pathology Informatics make sure that their reputation is maintained by any means necessary. They try very hard to keep their acceptance rate very low and only publish extremely well-done scientific articles and manuscripts. The Acceptance rate can measure the selectivity or prestige of a journal, though, like many journal metrics, the raw number is not the whole story, there is more to it.

In simple words, the percentage of all articles submitted to a journal in a whole year over the number of articles that were accepted to be printed in the same year can be defined as the acceptance rate. Both the number of submitted articles and the number of accepted articles are shown, to aid in giving a comprehensive understanding of the size of the journal. Articles that were withdrawn are not included in this data, they fall under the rejection rate. The acceptance rate is calculated as the ratio of the number of articles submitted to the number of articles published. The exact method of calculating the acceptance varies depending on journal to journal, each has its own.

Difference between Acceptance Rate and Rejection Rate

Rates of acceptance and rejection are projected in percentages and reflect and review the relationship between the number of articles submitted to a particular journal and those that were finally accepted after choosing from them. These rates are a measurement that must be gauged and taken into account when selecting the journal in which to publish your work, especially if your contribution is of high quality and has the capacity to compete with the best studies and challenge the best research. The rejection rate is the exact opposite of the Acceptance rate. Low Acceptance rate and High Rejection rate mean a prestigious journal such as Journal of Pathology Informatics whereas high acceptance rate and low rejection rate means the journal doesn’t go through rigorous checks such as Journal of Pathology Informatics.

Calculating Acceptance Rate

Acceptance rates of journals are capable of influencing faculty tenure and promotion decisions as well as how the quality of journals is seen and the intention to submit manuscripts to a given journal. Several variations exist in how acceptance rates are calculated across journals and editors, different methods are used by everyone which in turn results in potentially misleading comparisons and different results. The different results caused by different methods used can affect how powerful and reputed a journal is. Journals such as Journal of Pathology Informatics have different methods than others.

Relationship between Impact factor and Acceptance rate

The impact factor plays a very important role as many researchers—together with members of institutional committees, who make decisions about funding, awards, and promotions—usually have the belief that studies published in high-impact-factor journals, which also have very high rejection rates and low acceptance rates, have a major impact in the subject area that is being researched. Also, having a paper published in a high impact factor journal like Journal of Pathology Informatics is considered to be a challenge, very few authors are able to accomplish this and thus those authors get more funding and collaborations.

Journal Acceptance Rate Feedback System

Journal Acceptance Rate Feedback System is a platform on which you can access relevant data and make informed decisions with the help of a qualified crowd. It helps in improving the transparency of the peer-reviewed process. Occasionally, societies or other groups will issue acceptance rates for journals within a particular field. Again, a Google search may help find these but a dedicated software or platform particularly designed for this process is much more convenient

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Journal of Pathology Informatics

The Journal of Pathology Informatics (JPI) is an open-access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialities.   Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Wanfang Data   The journal is indexed with, or included in, the following: DOAJ, PubMed Central, SCOPUS   SJR Report Year SJR 2013 0.404 2014 0.179 2015 0.764 2017 0.639 2018 0.871 2019 1.005 2020 1.009   Year Documents 2012 2 2013 0 2014 0 2015 0 2016 51 2017 46 2018 48 2019 39 2020 15   Cites Year Value Self Cites 2012 0 Self Cites 2013 0 Self Cites 2014 0 Self Cites 2015 0 Self Cites 2016 0 Self Cites 2017 26 Self Cites 2018 35 Self Cites 2019 24 Self Cites 2020 10 Total Cites 2012 0 Total Cites 2013 3 Total Cites 2014 2 Total Cites 2015 5 Total Cites 2016 0 Total Cites 2017 150 Total Cites 2018 298 Total Cites 2019 505 Total Cites 2020 412   Cites per document Year Value Cites / Doc. (4 years) 2012 0.000 Cites / Doc. (4 years) 2013 1.500 Cites / Doc. (4 more...

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