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Frontiers in Environmental Science — Template for authors

Publisher: Frontiers Media

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Guideline source

Categories	Rank	Trend in last 3 yrs
Environmental Science (all)	#47 of 220	down by 13 ranks

Journal quality:

High

Last 4 years overview: 650 Published Papers | 2869 Citations

Indexed in: Scopus

Last updated: 17/06/2020

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General info

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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

4.4

CiteRatio for Frontiers in Environmental Science from 2016 - 2020
Year	Value
2020	4.4
2019	4.4
2018	4.1
2017	4.3

Graph view

1.225

35% from 2019

SJR for Frontiers in Environmental Science from 2017 - 2020
Year	Value
2020	1.225
2019	0.908
2018	0.896
2017	0.896

Graph view

1.326

25% from 2019

SNIP for Frontiers in Environmental Science from 2017 - 2020
Year	Value
2020	1.326
2019	1.058
2018	1.041
2017	0.94

Graph view

Insights

This journal’s CiteRatio is in the top 10 percentile category.

Insights

SJR of this journal has increased by 35% in last years.
This journal’s SJR is in the top 10 percentile category.

Insights

SNIP of this journal has increased by 25% in last years.
This journal’s SNIP is in the top 10 percentile category.

Frontiers in Environmental Science

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Frontiers Media

Frontiers in Environmental Science

Approved by publishing and review experts on SciSpace, this template is built as per for Frontiers in Environmental Science formatting guidelines as mentioned in Frontiers Media author instructions. The current version was created on 17 Jun 2020 and has been used by 724 authors to write and format their manuscripts to this journal.

Last updated on	17 Jun 2020
Open Access	No
Sherpa RoMEO Archiving Policy	Green
Plagiarism Check	Available via Turnitin
Endnote Style	Download Available
Bibliography Name	frontiersinSCNS_ENG_HUMS
Citation Type	Numbered [25]
Bibliography Example	Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 25 (1982) 4515–4532.

Top papers written in this journal

Open access • Journal Article • DOI: 10.3389/FENVS.2014.00053 •

Reactive oxygen species (ROS) and response of antioxidants as ROS-scavengers during environmental stress in plants

Kaushik Das¹, Aryadeep Roychoudhury¹ •

01 Dec 2014 - Frontiers in Environmental Science

Abstract:

Reactive oxygen species (ROS) were initially recognized as toxic by-products of aerobic metabolism. In recent years, it has become apparent that ROS plays an important signaling role in plants, controlling processes such as growth, development and especially response to biotic and abiotic environmental stimuli. The major memb... Reactive oxygen species (ROS) were initially recognized as toxic by-products of aerobic metabolism. In recent years, it has become apparent that ROS plays an important signaling role in plants, controlling processes such as growth, development and especially response to biotic and abiotic environmental stimuli. The major members of the ROS family include free radicals like O2● −, OH● and non-radicals like H2O2 and 1O2. The ROS production in plants is mainly localized in the chloroplast, mitochondria and peroxisomes. There are secondary sites as well like the endoplasmic reticulum, cell membrane, cell wall and the apoplast. The role of the ROS family is that of a double edged sword; while they act as secondary messengers in various key physiological phenomena, they also induce oxidative damages under several environmental stress conditions like salinity, drought, cold, heavy metals, UV irradiation etc., when the delicate balance between ROS production and elimination, necessary for normal cellular homeostasis, is disturbed. The cellular damages are manifested in the form of degradation of biomolecules like pigments, proteins, lipids, carbohydrates and DNA, which ultimately amalgamate in plant cellular death. To ensure survival, plants have developed efficient antioxidant machinery having two arms, (i) enzymatic components like superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), guaiacol peroxidase (GPX), glutathione reductase (GR), monodehydroascorbate reductase (MDHAR) and dehydroascorbate reductase (DHAR); (ii) non-enzymatic antioxidants like ascorbic acid (AA), reduced glutathione (GSH), α-tocopherol, carotenoids, flavonoids and the osmolyte proline. These two components work hand in hand to scavenge ROS. In this review, we emphasize on the different types of ROS, their cellular production sites, their targets, and their scavenging mechanism mediated by both the branches of the antioxidant systems, highlighting the potential role of antioxidant read more

Topics:

Cellular homeostasis (54%)54% related to the paper, Ascorbic acid (54%)54% related to the paper, Reactive oxygen species (54%)54% related to the paper,

1,242 Citations

Open access • Journal Article • DOI: 10.3389/FENVS.2015.00080 •

DeepTox: Toxicity Prediction using Deep Learning

Andreas Mayr¹, Günter Klambauer¹, •

02 Feb 2016 - Frontiers in Environmental Science

Abstract:

The Tox21 Data Challenge has been the largest effort of the scientific community to compare computational methods for toxicity prediction. This challenge comprised 12,000 environmental chemicals and drugs which were measured for 12 different toxic effects by specifically designed assays. We participated in this challenge to a... The Tox21 Data Challenge has been the largest effort of the scientific community to compare computational methods for toxicity prediction. This challenge comprised 12,000 environmental chemicals and drugs which were measured for 12 different toxic effects by specifically designed assays. We participated in this challenge to assess the performance of Deep Learning in computational toxicity prediction. Deep Learning has already revolutionized image processing, speech recognition, and language understanding but has not yet been applied to computational toxicity. Deep Learning is founded on novel algorithms and architectures for artificial neural networks together with the recent availability of very fast computers and massive datasets. It discovers multiple levels of distributed representations of the input, with higher levels representing more abstract concepts. We hypothesized that the construction of a hierarchy of chemical features gives Deep Learning the edge over other toxicity prediction methods. Furthermore, Deep Learning naturally enables multi-task learning, that is, learning of all toxic effects in one neural network and thereby learning of highly informative chemical features. In order to utilize Deep Learning for toxicity prediction, we have developed the DeepTox pipeline. First, DeepTox normalizes the chemical representations of the compounds. Then it computes a large number of chemical descriptors that are used as input to machine learning methods. In its next step, DeepTox trains models, evaluates them, and combines the best of them to ensembles. Finally, DeepTox predicts the toxicity of new compounds. In the Tox21 Data Challenge, DeepTox had the highest performance of all computational methods winning the grand challenge, the nuclear receptor panel, the stress response panel, and six single assays (teams ``Bioinf@JKU''). We found that Deep Learning excelled in toxicity prediction and outperformed many other computational approaches like naive Bayes, support vector machines, and random forests. read more

Topics:

Feature learning (59%)59% related to the paper, Artificial neural network (58%)58% related to the paper, Deep learning (58%)58% related to the paper,

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461 Citations

Open access • Journal Article • DOI: 10.3389/FENVS.2016.00020 •

Nanotechnology in Agriculture: Which Innovation Potential Does It Have?

Leonardo Fernandes Fraceto¹, Renato Grillo², •

01 Mar 2016 - Frontiers in Environmental Science

Abstract:

Recent scientific data indicate that nanotechnology has the potential to positively impact the agrifood sector, minimizing adverse problems of agricultural practices on environment and human health, improving food security and productivity (as required by the predicted rise in global population), while promoting social and ec... Recent scientific data indicate that nanotechnology has the potential to positively impact the agrifood sector, minimizing adverse problems of agricultural practices on environment and human health, improving food security and productivity (as required by the predicted rise in global population), while promoting social and economic equity. In this context, we select and report on recent trends in nanomaterial-based systems and nanodevices that could provide benefits on the food supply chain specifically on sustainable intensification, and management of soil and waste. Among others, nanomaterials for controlled-release of nutrients, pesticides and fertilizers in crops are described as well as nanosensors for agricultural practices, food quality and safety. read more

Topics:

Food security (61%)61% related to the paper, Agriculture (55%)55% related to the paper, Sustainable agriculture (55%)55% related to the paper

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222 Citations

Open access • Journal Article • DOI: 10.3389/FENVS.2017.00011 •

Validation and Development of COI Metabarcoding Primers for Freshwater Macroinvertebrate Bioassessment

Vasco Elbrecht¹, Florian Leese¹ •

29 May 2017 - Frontiers in Environmental Science

Abstract:

A central challenge in the present era of biodiversity loss is to assess and manage human impacts on freshwater ecosystems Macroinvertebrates are an important group for bioassessment as many taxa show specific responses to environmental conditions However, generating accurate macroinvertebrate inventories based on larval morp... A central challenge in the present era of biodiversity loss is to assess and manage human impacts on freshwater ecosystems Macroinvertebrates are an important group for bioassessment as many taxa show specific responses to environmental conditions However, generating accurate macroinvertebrate inventories based on larval morphology is difficult and error-prone Here, DNA metabarcoding provides new opportunities Its potential to accurately identify invertebrates in bulk samples to the species level, has been demonstrated in several case studies However, DNA based identification is often limited by primer bias, potentially leading to taxa in the sample remaining undetected Thus, the success of DNA metabarcoding as an emerging technique for bioassessment critically relies on carefully evaluating primers We used the R package PrimerMiner to obtain and process cytochrome c oxidase I (COI) sequence data for the 15 most globally relevant freshwater invertebrate groups for stream assessment Using these sequence alignments, we developed four primer combinations optimized for freshwater macrozoobenthos All primers were evaluated by sequencing ten mock community samples, each consisting of 52 freshwater invertebrate taxa Additionally, popular metabarcoding primers from the literature and the developed primers were tested in silico against the 15 relevant invertebrate groups The developed primers varied in amplification efficiency and the number of detected taxa, yet all detected more taxa than standard ‘Folmer’ barcoding primers Two new primer combinations showed more consistent amplification than a previously tested ribosomal marker (16S) and detected all 42 insect taxa present in the mock community samples In silico evaluation revealed critical design flaws in some commonly used primers from the literature We demonstrate a reliable strategy to develop optimized primers using the tool PrimerMiner The developed primers detected almost all taxa present in the mock samples, and we argue that high base degeneracy is necessary to decrease primer bias as confirmed by experimental results and in silico primer evaluation We further demonstrate that some primers currently used in metabarcoding studies may not be suitable for amplification of freshwater macroinvertebrates Therefore, careful primer evaluation and more region / ecosystem specific primers are needed before DNA metabarcoding can be used for routine bioassessment of freshwater ecosystems read more

Topics:

In silico PCR (58%)58% related to the paper

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191 Citations

Open access • Journal Article • DOI: 10.3389/FENVS.2016.00041 •

Soil “Ecosystem” Services and Natural Capital: Critical Appraisal of Research on Uncertain Ground

Philippe C. Baveye¹, Jacques Baveye, •

01 Jun 2016 - Frontiers in Environmental Science

Abstract:

Over the last few years, considerable attention has been devoted in the scientific literature and in the media to the concept of "ecosystem" services of soils. The monetary valuation of these services, demanded by many governments and international agencies, is often depicted as a necessary condition for the preservation of t... Over the last few years, considerable attention has been devoted in the scientific literature and in the media to the concept of "ecosystem" services of soils. The monetary valuation of these services, demanded by many governments and international agencies, is often depicted as a necessary condition for the preservation of the natural capital that soils represent. This focus on soil services is framed in the context of a general interest in ecosystem services that allegedly started in 1997, and took off in earnest after 2005. The careful analysis of the literature proposed in this article shows that, in fact, interest in the multifunctionality of soils emerged already in the mid-60s, at a time when hundreds of researchers worldwide were trying, and largely failing, to figure out how to put price tags meaningfully on "nature's services." Soil scientists, since, have tried to better understand various functions/services of soils, as well as their possible relation with key soil characteristics, like biodiversity. They have also tried to make progress on the challenging quantification of soil functions/services. However, researchers have shown very little interest in monetary valuation, undoubtedly in part because it is not clear what economic and financial markets might do with prices of soil functions/services, even if we could somehow come up with such numbers, and because there is no assurance at all, based on neoclassical economic theory, that markets would manage soil resources optimally. Instead of monetary valuation, focus in the literature has been put on decision-making methods, like Multi-Criteria Decision Analysis (MCDA) and Bayesian Belief Networks (BBN), which do not require the systematic monetization of soil functions/services and easily accommodate deliberative approaches involving a variety of stakeholders. A prerequisite to progress in such public deliberations is that participants be very cognizant of the extreme relevance of soils to many aspects of their daily life. We argue that, as long as this prerequisite is satisfied, the combination of deliberative decision-making methods and of a sound scientific approach to the quantification of soil functions/services is a very promising avenue to manage effectively and ethically the priceless heritage that soils constitute. read more

Topics:

Natural capital (58%)58% related to the paper, Soil functions (58%)58% related to the paper, Ecosystem services (56%)56% related to the paper,

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189 Citations

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Frequently asked questions

1. Can I write Frontiers in Environmental Science in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Frontiers in Environmental Science guidelines and auto format it.

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Yes, the template is compliant with the Frontiers in Environmental Science guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Frontiers in Environmental Science?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Frontiers in Environmental Science citation style.

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13. What is Sherpa RoMEO Archiving Policy for Frontiers in Environmental Science?

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Frontiers in Environmental Science. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour	Archiving policy
Green	Can archive pre-print and post-print or publisher's version/PDF
Blue	Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow	Can archive pre-print (ie pre-refereeing)
White	Archiving not formally supported

FYI:

Pre-prints as being the version of the paper before peer review and
Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Frontiers in Environmental Science?

The 5 most common citation types in order of usage for Frontiers in Environmental Science are:.

S. No.	Citation Style Type
1.	Author Year
2.	Numbered
3.	Numbered (Superscripted)
4.	Author Year (Cited Pages)
5.	Footnote

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Frontiers in Environmental Science — Template for authors

Related Journals

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

4.4

1.225

1.326

Insights

Insights

Insights

Frontiers in Environmental Science

Frontiers in Environmental Science

Top papers written in this journal

Abstract:

Topics:

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Speed and accuracy over MS Word

Plagiarism Reports via Turnitin

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Trusted by academicians

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