Biomedical Research (Japan)
最新影響指數 - 實時趨勢預測 & 期刊影響力排名


最新

影響指數

2020-2021

1.429

17.4%

影響指數趨勢分析

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Highly Cited Articles

Biomedical Research (Japan)

High Impact Research Articles
Publication Title Author Listing
Publication Title Author Listing

Highly Cited Keywords

Biomedical Research (Japan)

High Impact Research Keywords

Journal Research Scope

Biomedical Research (Japan)

Research Scope
Biomedical Research (Japan) | Academic Accelerator - About the Journal

Research Scope

Biomedical Research (Japan)

Research Scope

熱門瀏覽期刊

Biomedical Research (Japan)

Biomedical Research (Japan) 2020-2021 年的影響指數為1.429。

Biomedical Research (Japan) Impact Factor
最高影響指數
1.429
最高影響指數 IF

近十年Biomedical Research (Japan)的最高影響指數為1.429。

最低影響指數
0.912
最低影響指數 IF

近十年Biomedical Research (Japan)的最低影響指數為0.912。

影響指數 累積成長率
16.1%
影響指數 累積成長率

近十年Biomedical Research (Japan)的影響指數累積成長率為16.1%。

影響指數 平均成長率
1.8%
影響指數 平均成長率

近十年Biomedical Research (Japan)的影響指數平均成長率為1.8%。

期刊影響力排名

子領域 四分位數 排名 百分比
General Biochemistry,Genetics and Molecular Biology Q2 98/197

General Biochemistry,Genetics and Molecular Biology 50%

期刊影響力排名

· 在General Biochemistry,Genetics and Molecular Biology研究領域,Biomedical Research (Japan)的四分位數為Q2。Biomedical Research (Japan)在General Biochemistry,Genetics and Molecular Biology研究類別的197種相關期刊中排名第98。在General Biochemistry,Genetics and Molecular Biology研究領域,Biomedical Research (Japan)的排名百分位約為50%。

Biomedical Research (Japan) Impact Factor 2022 Prediction

Biomedical Research (Japan) Impact Factor Predition System

Biomedical Research (Japan) Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

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國際合作趨勢

文獻被引用趨勢

影響指數歷年數據分析

影響指數
影響指數
2019-2020 1.429
2018-2019 1.217
2017-2018 1.284
2016-2017 0.912
2015-2016 0.953
2014-2015 1.138
2013-2014 1.102
2012-2013 1.257
2011-2012 1.231
影響指數歷年數據分析

· Biomedical Research (Japan) 2019-2020年的影響指數為1.429
· Biomedical Research (Japan) 2018-2019年的影響指數為1.217
· Biomedical Research (Japan) 2017-2018年的影響指數為1.284
· Biomedical Research (Japan) 2016-2017年的影響指數為0.912
· Biomedical Research (Japan) 2015-2016年的影響指數為0.953
· Biomedical Research (Japan) 2014-2015年的影響指數為1.138
· Biomedical Research (Japan) 2013-2014年的影響指數為1.102
· Biomedical Research (Japan) 2012-2013年的影響指數為1.257
· Biomedical Research (Japan) 2011-2012年的影響指數為1.231

Biomedical Research (Japan)
基本資訊
Biomedical Research (Japan) | Academic Accelerator - About the Journal

介绍

Biomedical Research is peer-reviewed International Research Journal . It was first launched in 1990 as a biannual English Journal and later became triannual. From 2008 it is published in Jan-Apr/ May-Aug/ Sep-Dec..

ISSN
0388-6107
ISSN

Biomedical Research (Japan)的ISSN是 0388-6107 ISSN是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

ISSN (Online)
-
ISSN (Online)

Biomedical Research (Japan)的ISSN(Online)是 - . ISSN是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

出版社
Biomedical Research Foundation
出版社

Biomedical Research (Japan)的出版社是 Biomedical Research Foundation

出版頻率
Bimonthly
出版頻率

Biomedical Research (Japan) publishes reports Bimonthly .

出版年度
1980 - Present
出版年度

Biomedical Research (Japan)的出版年度包含 1980 - Present .

開放取用
YES
開放取用

Biomedical Research (Japan)開放存取(Open Access,簡稱OA)期刊。開放獲取是國際學術界、出版界、圖書情報界為了推動科研成果利用互聯網自由傳播而採取的行動。其目的是促進科學及人文信息的廣泛交流,促進利用互聯網進行科學交流與出版,提昇科學研究的公共利用程度、保障科學信息的保存,提高科學研究的效率。通過新的數字技術和網絡化通信, 只要正確引用作者和原始來源,任何人都可以及時、免費、不受任何限制地通過網絡獲取各類文獻。

出版费
Review
出版費

Biomedical Research (Japan) is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Open Access allows taxpayers to see the results of their investment. Please share or review the publication fee with the community.

語言
English
語言

The language of Biomedical Research (Japan) is English .

國家/地區
Japan
國家/地區

The publisher of Biomedical Research (Japan) is Biomedical Research Foundation , which locates in Japan .

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.

Biomedical Research (Japan) | Academic Accelerator - About the Impact Factor

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 Biomedical Research (Japan) Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Biomedical Research (Japan) 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 Biomedical Research (Japan).

History

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.

Use

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.

Eugene Garfield

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.
As impact factors are a journal-level metric, rather than an article- or individual-level metric, this use is controversial. Garfield agrees with Hoeffel,but warns about the "misuse in evaluating individuals" because there is "a wide variation [of citations] from article to article within a single journal". Other things to consider about Impact Factors:
  • 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.
Moreover, informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
  • 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.
Impact factors have often been used in advancement and tenure decision-making. Many recognize that this is a coarse tool for such important decisions, and that a multitude of factors should be taken into account in these deliberations. When considering the use of the impact factor (IF), keep these aspects in mind:
  • 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.
Comparing Journals Across Disciplines? Not a good idea! Using Impact Factors within a given discipline should only be done with great care, as described above. Using impact factor data to compare journals across disciplines is even more problematic. Here are some of the reasons:
  • 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

Pros:

  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
Cons:
  • 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.

Criticism

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.
According to Jim Testa, a researcher for ThomsonReuters Scientific, the most widespread misuse of the Impact Factor is to evaluate the work of an individual author (instead of a journal). "To say that because a researcher is publishing in a certain journal, he or she is more influential or deserves more credit is not necessarily true. There are many other variables to consider." (interview 6/26/2008 in Thomson Reuters blog entry)

什麼是影響指數?

影響指數(IF)經常用作表明期刊對其領域重要性的指標。它是由科學信息研究所的創始人Eugene Garfield首次提出的。儘管IF被機構和臨床醫生廣泛使用,但是人們對於IF日記的計算方法,其意義以及如何利用它存在著廣泛的誤解。期刊的影響指數與同行評議過程的質量和期刊的內容質量等因素無關,而是一種反映對期刊,書籍,論文,項目報告,報紙上發表的文章的平均引用次數的度量,會議/研討會論文集,在互聯網上發布的文件,說明以及任何其他批准的文件。

Biomedical Research (Japan) | Academic Accelerator - About the Impact Factor

影響指數通常用於評估期刊在其領域內的相對重要性,以及衡量期刊在特定時間段內引用“平均文章”的頻率。發表更多評論文章的期刊將獲得最高的IF。 IF較高的期刊被認為比IF較低的期刊更重要。根據尤金·加菲爾德(Eugene Garfield)的說法,“影響只是反映期刊和編輯吸引最佳論文的能力。”發表更多評論文章的期刊將獲得最大的IF。