Network Biology
最新影响因子 - 实时趋势预测 & 排名分区分析


最新

影响因子

2019-2020

0.105

-34.4 %

影响因子趋势分析

Network Biology

Network Biology 2019-2020 年的影响因子为0.105。

最高影响因子
0.522
最高影响因子 IF

近十年Network Biology的最高影响因子为0.522。

最低影响因子
0.105
最低影响因子 IF

近十年Network Biology的最低影响因子为0.105。

影响因子 总成长率
-63.0%
影响因子 总成长率

近十年Network Biology的影响因子总成长率为-63.0%。

影响因子 平均成长率
-7.9%
影响因子 平均成长率

近十年Network Biology的影响因子平均成长率为-7.9%。

影响因子排名分区

子领域 分区 排名 百分比
- - -
-
影响因子排名分区

Network Biology的影响因子排名分区仍在等待计算中,敬请关注!

国际合作趋势

引用文献趋势

影响因子历年数据分析

影响因子
影响因子
2019-2020 0.105
2018-2019 0.160
2017-2018 0.310
2016-2017 0.263
2015-2016 0.248
2014-2015 0.431
2013-2014 0.522
2012-2013 0.284
2011-2012 -
影响因子历年数据分析

· Network Biology 2019-2020年的影响因子为0.105
· Network Biology 2018-2019年的影响因子为0.160
· Network Biology 2017-2018年的影响因子为0.310
· Network Biology 2016-2017年的影响因子为0.263
· Network Biology 2015-2016年的影响因子为0.248
· Network Biology 2014-2015年的影响因子为0.431
· Network Biology 2013-2014年的影响因子为0.522
· Network Biology 2012-2013年的影响因子为0.284
Network Biology2011-2012的影响因子仍在等待计算中,敬请关注!

Network Biology
基本资讯
Network Biology | Academic Accelerator - About the Journal

介绍

Network biology is a science that deals with the structure, function, regulation (control), design, and application, etc., of various biological networks. It is an interdisciplinary science based on life sciences (biology, ecology, medicine, etc.), mathematics and systems science (graph theory, network science, complexity theory, etc.), computational science (computation methods, programming), statistics, etc. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: Theories, algorithms and programs of network analysisEvolution, dynamics, optimization and control of biological networksNetwork construction, link predictionNetwork topology, topological analysis, relationship between topological structure and network functions, sensitivity analysis, network robustness and stabilityNetwork flow analysisDesign and formulation of biological networksEcological networks, food webs and natural equilibrium, co-evolution, co-extinction, biodiversity conservationMetabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs and modulesPhysiological networks, social networks, epidemiological networksNetwork regulation of metabolic processes, human diseases and ecological systemsSystem complexity, self-organization, emergence of biological systems, agent-based modeling, neural network modeling, and other network-based modeling, etc.Big data analytics of biological networks

ISSN
2220-8879
ISSN

Network Biology的ISSN是 2220-8879 ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

ISSN (Online)
-
ISSN (Online)

Network Biology的ISSN(Online)是 - . ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

出版社
International Academy of Ecology and Environmental Sciences
出版社

Network Biology的出版社是 International Academy of Ecology and Environmental Sciences

出版频率
Quarterly
出版频率

Network Biology publishes reports Quarterly .

出版年度
2011-2017
出版年度

Network Biology的出版年度包含 2011-2017 .

开放存取
-
开放存取

Network Biology的发布类型仍在调查中。敬请关注!

出版费
Review
出版费

The publication fee of Network Biology is still under survey. Stay tuned!

语言
English
语言

The language of Network Biology is English .

国家/地区
China
国家/地区

The publisher of Network Biology is International Academy of Ecology and Environmental Sciences , which locates in China .

What is Impact Factor?

The impact factor (IF) is frequently used as an indicator of the importance of a journal to its field. It was first introduced by Eugene Garfield, the founder of the Institute for Scientific Information. Although IF is widely used by institutions and clinicians, people have widespread misconception regarding the method for calculating the journal IF, its significance and how it can be utilized. The IF of a journal is not associated to the factors like quality of peer review process and quality of content of the journal, but is a measure that reflects the average number of citations to articles published in journals, books, thesis, project reports, newspapers, conference/seminar proceedings, documents published in internet, notes, and any other approved documents.

Network Biology | 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 Journal Impact 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 Journal Impact are often deemed to be more important than those with lower ones. The Network Biology Journal Impact IF measures the average number of citations received in a particular year (2020) by papers published in the Network Biology during the two preceding years (2018-2019). Note that 2020 Journal Impact are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. In addition to the 2-year Journal Impact, the 3-year Journal Impact can provide further insights and factors into the impact of Network Biology.

什么是影响因子?

影响因子(IF)经常用作表明期刊对其领域重要性的指标。它是由科学信息研究所的创始人Eugene Garfield首次提出的。尽管IF被机构和临床医生广泛使用,但是人们对于IF日记的计算方法,其意义以及如何利用它存在着广泛的误解。期刊的影响因子与同行评议过程的质量和期刊的内容质量等因素无关,而是一种反映对期刊,书籍,论文,项目报告,报纸上发表的文章的平均引用次数的度量,会议/研讨会论文集,在互联网上发布的文件,说明以及任何其他批准的文件。

Network Biology | Academic Accelerator - About the Impact Factor

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。