Highly Cited Articles
High Impact Research Articles
Highly Cited Keywords
High Impact Research Keywords
Journal Research Scope
Pancreas 2020-2021 年的影响因子为3.327。
· 在Internal Medicine研究领域，Pancreas的分区数为2区。Pancreas在Internal Medicine研究类别的121种相关期刊中排名第44。在Internal Medicine领域，Pancreas的排名百分位约为64％。
· 在Endocrinology, Diabetes and Metabolism研究领域，Pancreas的分区数为2区。Pancreas在Endocrinology, Diabetes and Metabolism研究类别的219种相关期刊中排名第93。在Endocrinology, Diabetes and Metabolism领域，Pancreas的排名百分位约为57％。
· Pancreas 2020-2021年的影响因子为3.327。
· Pancreas 2019-2020年的影响因子为2.92。
· Pancreas 2018-2019年的影响因子为2.675。
· Pancreas 2017-2018年的影响因子为2.958。
· Pancreas 2016-2017年的影响因子为2.967。
· Pancreas 2015-2016年的影响因子为2.738。
· Pancreas 2014-2015年的影响因子为2.959。
· Pancreas 2013-2014年的影响因子为3.008。
· Pancreas 2012-2013年的影响因子为2.953。
· Pancreas 2011-2012年的影响因子为2.386。
Pancreas provides a central forum for communication of original works involving both basic and clinical research on the exocrine and endocrine pancreas and their interrelationships and consequences in disease states. This multidisciplinary, international journal covers the whole spectrum of basic sciences, etiology, prevention, pathophysiology, diagnosis, and surgical and medical management of pancreatic diseases, including cancer. Features Include: Original articles covering new basic and clinical research Reviews Case Reports Letters to the Editor. None
What is Impact Factor?
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.
Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Pancreas Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Pancreas during the two preceding years (2018-2019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1, are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Journal Citation Reports assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. The calculation always uses two complete and known years of item counts, but for new titles one of the known counts is zero. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period. In addition to the 2-year Impact Factor, the 3-year Impact Factor, 4-year Impact Factor, 5-year Impact Factor, Real-Time Impact Factor can provide further insights and factors into the impact of Pancreas.
The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson ISI was sold to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.
The impact factor is used to compare different journals within a certain field. The Web of Science indexes more than 11,500 science and social science journals.
Journal impact factors are often used to evaluate the merit of individual articles and individual researchers. This use of impact factors was summarised by Hoeffel:
Impact Factor is not a perfect tool to measure the quality of articles but there is nothing better and it has the advantage of already being in existence and is, therefore, a good technique for scientific evaluation. Experience has shown that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals that have a high impact factor. Most of these journals existed long before the impact factor was devised. The use of impact factor as a measure of quality is widespread because it fits well with the opinion we have in each field of the best journals in our specialty....In conclusion, prestigious journals publish papers of high level. Therefore, their impact factor is high, and not the contrary.
In brief, Impact factors may be used by:
- Authors to decide where to submit an article for publication.
- Libraries to make collection development decisions
- Academic departments to assess academic productivity
- Academic departments to make decisions on promotion and tenure.
- Many journals do not have an impact factor.
- The impact factor cannot assess the quality of individual articles. Even if citations were evenly distributed among articles, the impact factor would only measure the interests of other researchers in an article, not its importance and usefulness.
- Only research articles, technical notes and reviews are “citable” items. Editorials, letters, news items and meeting abstracts are “non-citable items”.
- Only a small percentage of articles are highly cited and they are found in a small subset of journals. This small proportion accounts for a large percentage of citations.
- Controversial papers, such as those based on fraudulent data, may be highly cited, distorting the impact factor of a journal.
- Citation bias may exist. For example, English language resources may be favoured. Authors may cite their own work.
- It is not clear whether the number of times a paper is cited measures its actual quality.
- Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
- Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
- Review articles normally are cited more often and therefore can skew results.
- Self-citing may also skew results.
- Some resources used to calculate impact factors have inadequate international coverage.
- Editorial policies can artificially inflate an impact factor.
- IF analysis is limited to citations from the journals indexed by the Web of Science/Web of Knowledge. Currently, the Web of Science indexes only 8621 journals across the full breadth of the sciences, and just 3121 in the social sciences.
- A high IF/citation rate says nothing about the quality -- or even, validity -- of the references being cited. Notorious or even retracted articles often attract a lot of attention, hence a high number of citations. The notority related to the first publication on "cold fusion" is one such example.
- Journals that publish more "review articles" are often found near the top of the rankings. While not known for publishing new, creative findings, these individual articles tend to be heavily cited.
- The IF measures the average number of citations to articles in the journal -- given this, a small number of highly-cited articles will skew the figure.
- It takes several years for new journals to be added to the list of titles indexed by the Web of Science/Web of Knowledge, so these newer titles will be under-represented.
- It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
- Disciplines where older literature is still referenced, such as Chemistry and Mathematics, offer challenges to the methodolgy since older citations (older than two years) are not used to calculate the impact factor for a given journal. (Five-year impact factor analysis, which can be calculated using the Journal Citation Index database, helps smooth out this problem only to some degree.)
- Different disciplines have different practices regarding tendency to cite larger numbers of references. Higher overall citation rates will bump upward impact factor measurements.
- Where it's common for large numbers of authors to collaborate on a single paper, such as in Physics, the tendency of authors to cite themselves (and in this case, more authors) will result in increased citation rates.
Pros and Cons of the Impact Factor
- A vetted, established metric for measuring journal impact within a discipline.
- Designed to eliminate bias based on journal size and frequency.
- Individual articles makes an uneven contribution to overall Impact Factor.
- Impact Factor does not account for certain things, things like context (postive or negative citaion) and intentionality (self-citation).
- The metric is proprietary to and bound by the contents of the Thomson Reuters database.
- Citations, on which the Impact Factor is based, count for less than 1% of an article's overall use.
Numerous critiques have been made regarding the use of impact factors. A 2007 study noted that the most fundamental flaw is that impact factors present the mean of data that are not normally distributed, and suggested that it would be more appropriate to present the median of these data. There is also a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Others have made more general criticisms, arguing that emphasis on impact factor results from negative influence of neoliberal policies on academia claiming that what is needed is not just replacement of the impact factor with more sophisticated metrics for science publications but also discussion on the social value of research assessment and the growing precariousness of scientific careers in higher education.
Experts stress that there are limitations in using impact factors to evaluate a scholar's work. There are many reasons cited for not relying on impact factor alone to evaluate the output of a particular individual. Among these are the following:
- A single factor is not sufficient for evaluating an author's work.
- Journal values are meaningless unless compared within the same discipline. Impact factors vary among disciplines.
- The impact factor was originally devised to show the impact of a specific journal, not a specific scholar. The quality and impact of the author's work may extend beyond the impact of a particular journal.
影响因子通常用于评估期刊在其领域内的相对重要性，以及衡量期刊在特定时间段内引用“平均文章”的频率。发表更多评论文章的期刊将获得最高的IF。 IF较高的期刊被认为比IF较低的期刊更重要。根据尤金·加菲尔德（Eugene Garfield）的说法，“影响只是反映期刊和编辑吸引最佳论文的能力。”发表更多评论文章的期刊将获得最大的IF。