Network Biology
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

2019-2020

0.105

-34.4 %

影響指數趨勢分析

Network Biology

Network Biology 2019-2020 年的影響指數為0.105。

最高影響指數
0.522
最高影響指數 IF

近十年Network Biology的最高影響指數為0.522。

最低影響指數
0.105
最低影響指數 IF

近十年Network Biology的最低影響指數為0.105。

影響指數 累積成長率
-63.0%
影響指數 累積成長率

近十年Network Biology的影響指數累積成長率為-63.0%。

影響指數 平均成長率
-7.9%
影響指數 平均成長率

近十年Network Biology的影響指數平均成長率為-7.9%。

期刊影響力排名

子領域 四分位數 排名 百分比
- - -
-
期刊影響力排名

Network Biology的期刊影響力排名仍在等待計算中,敬請關注!

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 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 -
影響指數歷年數據分析

· Network Biology 2019-2020年的影響指數為0.105
· Network Biology 2018-2019年的影響指數為0.160
· Network Biology 2017-2018年的影響指數為0.310
· Network Biology 2016-2017年的影響指數為0.263
· Network Biology 2015-2016年的影響指數為0.248
· Network Biology 2014-2015年的影響指數為0.431
· Network Biology 2013-2014年的影響指數為0.522
· Network Biology 2012-2013年的影響指數為0.284
Network Biology2011-2012的影響指數仍在等待計算中,敬請關注!

Network Biology
基本資訊
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)

Network Biology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
International Academy of Ecology and Environmental Sciences
出版社

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

出版頻率
Quarterly
出版頻率

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 .

開放取用
-
開放取用

Network Biology的發布類型仍在調查中。敬請關注!

出版费
Review
出版費

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

語言
English
語言

The language of Network Biology is English .

國家/地區
China
國家/地區

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

熱門瀏覽期刊

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。

Network Biology | 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。