Network Biology
Factor de Impacto - Análisis · Tendencia · Clasificación · Predicción
Factor de Impacto
2019-2020
0.105
Tendencia del Factor de Impacto
Network Biology Factor de Impacto
El Factor de Impacto 2019-2020 de Network Biology es 0.105, que se acaba de actualizar en 2020.
Network Biology - Journal Impact IF
The 2019-2020 Journal Impact IF of Network Biology is 0.105, which is just updated in 2020.
The highest Factor de Impacto of Network Biology is 0.522.
The lowest Factor de Impacto of Network Biology is 0.105.
The total growth rate of Network Biology IF is -63.0%.
The annual growth rate of Network Biology IF is -7.9%.
Clasificación del Factor de Impacto
| Subcategoría | Cuartil | Rango | Porcentaje |
|---|---|---|---|
| - | - | - |
-
|
The Factor de Impacto Ranking of Network Biology is still under analysis. Stay Tuned!
Network Biology Key Factor Analysis
Revista Académica Relacionada
Tendencia de Colaboración Internacional
Tendencia de Documentos Citados
Registro de Factor de Impacto
| Año | Factor de Impacto |
|---|---|
| Año | Factor de Impacto |
| 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 | - |
· The 2019-2020 Factor de Impacto of Network Biology is 0.105
Network Biology Key Factor Analysis
· The 2018-2019 Factor de Impacto of Network Biology is 0.160
Network Biology Key Factor Analysis
· The 2017-2018 Factor de Impacto of Network Biology is 0.310
Network Biology Key Factor Analysis
· The 2016-2017 Factor de Impacto of Network Biology is 0.263
Network Biology Key Factor Analysis
· The 2015-2016 Factor de Impacto of Network Biology is 0.248
Network Biology Key Factor Analysis
· The 2014-2015 Factor de Impacto of Network Biology is 0.431
Network Biology Key Factor Analysis
· The 2013-2014 Factor de Impacto of Network Biology is 0.522
Network Biology Key Factor Analysis
· The 2012-2013 Factor de Impacto of Network Biology is 0.284
Network Biology Key Factor Analysis
The Factor de Impacto 2011-2012 of Network Biology is still under analysis. Stay Tuned!
Network Biology Key Factor Analysis
Introducción
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
The ISSN of Network Biology is
2220-8879
.
An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.
Network Biology Key Factor Analysis
The ISSN (Online) of Network Biology is
-
.
An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.
Network Biology Key Factor Analysis
Network Biology is published by
International Academy of Ecology and Environmental Sciences
.
Network Biology Key Factor Analysis
Network Biology publishes reports
Quarterly
.
Network Biology Key Factor Analysis
The Publication History of Network Biology covers
2011-2017
.
Network Biology Key Factor Analysis
The publication type of Network Biology is still under survey. Stay tuned!
Network Biology Key Factor Analysis
The publication fee of Network Biology is still under survey. Stay tuned!
Network Biology Key Factor Analysis
The language of Network Biology is
English
.
Network Biology Key Factor Analysis
The publisher of Network Biology is
International Academy of Ecology and Environmental Sciences
,
which locates in
China
.
Network Biology Key Factor Analysis
Revista Académica Popular
¿Qué es el factor de impacto?
El factor de impacto (FI) se utiliza con frecuencia como indicador de la importancia de una revista en su campo. Fue presentado por primera vez por Eugene Garfield, el fundador del Instituto de Información Científica. Aunque las instituciones y los médicos utilizan ampliamente la FI, las personas tienen una idea errónea generalizada sobre el método para calcular la FI de la revista, su importancia y cómo se puede utilizar. El FI de una revista no está asociado a factores como la calidad del proceso de revisión por pares y la calidad del contenido de la revista, sino que es una medida que refleja el número promedio de citas a artículos publicados en revistas, libros, tesis, informes de proyectos, periódicos. , actas de conferencias / seminarios, documentos publicados en Internet, notas y cualquier otro documento aprobado.
El factor de impacto se usa comúnmente para evaluar la importancia relativa de una revista dentro de su campo y para medir la frecuencia con la que el “artículo promedio” en una revista ha sido citado en un período de tiempo particular. La revista que publique más artículos de revisión obtendrá los IF más altos. Se cree que las revistas con FI más altas son más importantes que las que tienen menos. Según Eugene Garfield, "el impacto simplemente refleja la capacidad de las revistas y los editores para atraer el mejor artículo disponible". La revista que publique más artículos de revisión obtendrá el máximo de IF.
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.
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 Factor de Impacto 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.