Science of the Total Environment

An International Journal for Scientific Research into the Environment and its Relationship with Humankind

Science of the Total Environment - ISSN 0048-9697
Source Normalized Impact per Paper (SNIP): 1.977 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.661 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 6.551 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 6.419 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 750-801
Issues: 1 issue
ISSN: 00489697

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Science of the Total Environment is an international multi-disciplinary journal for publication of novel, hypothesis-driven and high-impact research on the total environment, which interfaces the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.

STOTEN's Aims & Scope has been updated - we invite contributions of original and high quality interdisciplinary environmental research papers of broad impact. Studies significantly advancing fundamental understanding and that focus on the interconnection of multiple spheres will be given primary consideration. Field studies have preferences, while papers describing laboratory experiments must demonstrate significant advances in methodology or mechanistic understanding with a clear connection to the environment. Descriptive, repetitive, incremental or regional-scale studies with limited novelty will not be considered.

1) Subject areas may include, but are not limited to:
• Air quality, atmospheric conditions, and human health outcomes
• Atmospheric biogeochemistry
• Ecosystem services and life cycle assessment
• Ecotoxicology and risk assessment
• Environmental impacts of climate change, agriculture, forestry, and land uses
• Environmental impacts of waste or wastewater treatment
• Environmental remediation of soil and groundwater
• Global change-induced extreme events and environmental impacts
• Groundwater hydrogeochemistry and modeling
• Nanomaterials, microplastics, and other emerging contaminants
• Novel contaminant (bio)monitoring and risk assessment approaches
• Remote sensing and big data applications in multiple spheres
• Stress ecology in marine, freshwater, and terrestrial ecosystems
• Trace metals and organics in biogeochemical cycles
• Water quality and security

• Critical reviews or Discussion on current or emerging topics

• Fast-track submissions (less than 2 weeks): Ground-breaking discoveries with immediate impact

2) Types of submissions not to be considered:
• Papers not contributing significant new knowledge to the field of study
• Disciplinary studies with limited environmental relevance
• Local or regional scale case studies lacking international relevance
• Soil or plant science studies without environmental implications
• Laboratory batch experiments without an application component, e.g., batch sorption experiments, preparation, and evaluation of sorbents or catalysts for contaminant removal
• Manuscripts that are primarily data reports without a substantial hypothesis, e.g., monitoring of common contaminants
• Modelling studies without calibration and data validation
• Toxicology and ecotoxicology studies testing single chemicals in bench-scale assays
• Human health studies with limited duration or chemical exposure data
• Method development papers on common contaminants
• Bibliometric analysis-based papers