Example of Applied and Environmental Microbiology format
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Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format
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Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format Example of Applied and Environmental Microbiology format
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open access Open Access ISSN: 992240 e-ISSN: 10985336
recommended Recommended

Applied and Environmental Microbiology — Template for authors

Categories Rank Trend in last 3 yrs
Ecology #34 of 400 down down by 17 ranks
Food Science #31 of 310 down down by 21 ranks
Applied Microbiology and Biotechnology #18 of 113 down down by 6 ranks
Biotechnology #53 of 282 down down by 23 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 2310 Published Papers | 16496 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 19/06/2020
Insights & related journals
General info
Top papers
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

4.016

1% from 2018

Impact factor for Applied and Environmental Microbiology from 2016 - 2019
Year Value
2019 4.016
2018 4.077
2017 3.633
2016 3.807
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

7.1

CiteRatio for Applied and Environmental Microbiology from 2016 - 2020
Year Value
2020 7.1
2019 7.1
2018 7.2
2017 7.5
2016 7.3
graph view Graph view
table view Table view

insights Insights

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

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

1.552

3% from 2019

SJR for Applied and Environmental Microbiology from 2016 - 2020
Year Value
2020 1.552
2019 1.594
2018 1.663
2017 1.684
2016 1.705
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.292

2% from 2019

SNIP for Applied and Environmental Microbiology from 2016 - 2020
Year Value
2020 1.292
2019 1.271
2018 1.299
2017 1.254
2016 1.256
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 2% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

open access Open Access ISSN: 12267708 e-ISSN: 20926456

Springer

CiteRatio: 3.2 | SJR: 0.595 | SNIP: 0.946
open access Open Access ISSN: 7388551 e-ISSN: 15497801
recommended Recommended

Taylor and Francis

CiteRatio: 14.9 | SJR: 1.702 | SNIP: 2.222
open access Open Access e-ISSN: 21974365
recommended Recommended

Springer

CiteRatio: 7.7 | SJR: 1.053 | SNIP: 1.746
open access Open Access ISSN: 1686496 e-ISSN: 15746941
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Oxford University Press

CiteRatio: 6.3 | SJR: 1.377 | SNIP: 1.049

Applied and Environmental Microbiology

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American Society for Microbiology

Applied and Environmental Microbiology

Applied and Environmental Microbiology (AEM) publishes study results that make significant contributions to applied microbial research, basic microbial ecology research, and genetic and molecular investigations of microbial topics of practical value. The journal sheds new ligh...... Read More

Food Science

Ecology

Applied Microbiology and Biotechnology

Agricultural and Biological Sciences

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Last updated on
19 Jun 2020
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ISSN
0099-2240
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Impact Factor
High - 1.388
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Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
unsrt asm custom citation
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Citation Type
Numbered
(25)
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Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. 1982. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B, 25(7):4515–4532.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1128/AEM.01541-09
Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities

Abstract:

mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calcu... mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools to provide a flexible and powerful software package for analyzing sequencing data. As a case study, we used mothur to trim, screen, and align sequences; calculate distances; assign sequences to operational taxonomic units; and describe the alpha and beta diversity of eight marine samples previously characterized by pyrosequencing of 16S rRNA gene fragments. This analysis of more than 222,000 sequences was completed in less than 2 h with a laptop computer. read more read less

Topics:

mothur (70%)70% related to the paper
View PDF
14,946 Citations
open accessOpen access Journal Article DOI: 10.1128/AEM.00062-07
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Qiong Wang, George M. Garrity1, James M. Tiedje1, James R. Cole

Abstract:

The Ribosomal Database Project (RDP) Classifier, a naive Bayesian classifier, can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes (2nd ed., release 5.0, Springer-Verlag, New York, NY, 2004). It provides taxonomic assignme... The Ribosomal Database Project (RDP) Classifier, a naive Bayesian classifier, can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes (2nd ed., release 5.0, Springer-Verlag, New York, NY, 2004). It provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. The majority of classifications (98%) were of high estimated confidence (≥95%) and high accuracy (98%). In addition to being tested with the corpus of 5,014 type strain sequences from Bergey's outline, the RDP Classifier was tested with a corpus of 23,095 rRNA sequences as assigned by the NCBI into their alternative higher-order taxonomy. The results from leave-one-out testing on both corpora show that the overall accuracies at all levels of confidence for near-full-length and 400-base segments were 89% or above down to the genus level, and the majority of the classification errors appear to be due to anomalies in the current taxonomies. For shorter rRNA segments, such as those that might be generated by pyrosequencing, the error rate varied greatly over the length of the 16S rRNA gene, with segments around the V2 and V4 variable regions giving the lowest error rates. The RDP Classifier is suitable both for the analysis of single rRNA sequences and for the analysis of libraries of thousands of sequences. Another related tool, RDP Library Compare, was developed to facilitate microbial-community comparison based on 16S rRNA gene sequence libraries. It combines the RDP Classifier with a statistical test to flag taxa differentially represented between samples. The RDP Classifier and RDP Library Compare are available online at http://rdp.cme.msu.edu/. read more read less
View PDF
13,147 Citations
open accessOpen access Journal Article DOI: 10.1128/AEM.59.3.695-700.1993
Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA
Gerard Muyzer1, E.C. de Waal1, And A G Uitterlinden1

Abstract:

We describe a new molecular approach to analyzing the genetic diversity of complex microbial populations. This technique is based on the separation of polymerase chain reaction-amplified fragments of genes coding for 16S rRNA, all the same length, by denaturing gradient gel electrophoresis (DGGE). DGGE analysis of different m... We describe a new molecular approach to analyzing the genetic diversity of complex microbial populations. This technique is based on the separation of polymerase chain reaction-amplified fragments of genes coding for 16S rRNA, all the same length, by denaturing gradient gel electrophoresis (DGGE). DGGE analysis of different microbial communities demonstrated the presence of up to 10 distinguishable bands in the separation pattern, which were most likely derived from as many different species constituting these populations, and thereby generated a DGGE profile of the populations. We showed that it is possible to identify constituents which represent only 1% of the total population. With an oligonucleotide probe specific for the V3 region of 16S rRNA of sulfate-reducing bacteria, particular DNA fragments from some of the microbial populations could be identified by hybridization analysis. Analysis of the genomic DNA from a bacterial biofilm grown under aerobic conditions suggests that sulfate-reducing bacteria, despite their anaerobicity, were present in this environment. The results we obtained demonstrate that this technique will contribute to our understanding of the genetic diversity of uncharacterized microbial populations. read more read less

Topics:

Temperature gradient gel electrophoresis (60%)60% related to the paper, Community Fingerprinting (60%)60% related to the paper, Gel electrophoresis (54%)54% related to the paper, Oligomer restriction (53%)53% related to the paper, Polymerase chain reaction (51%)51% related to the paper
11,016 Citations
open accessOpen access Journal Article DOI: 10.1128/AEM.03006-05
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB

Abstract:

A 16S rRNA gene database (http://greengenes.lbl.gov) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative... A 16S rRNA gene database (http://greengenes.lbl.gov) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria. read more read less

Topics:

Candidate division (50%)50% related to the paper
View PDF
8,458 Citations
open accessOpen access Journal Article DOI: 10.1128/AEM.71.12.8228-8235.2005
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Catherine A. Lozupone1, Rob Knight1

Abstract:

We introduce here a new method for computing differences between microbial communities based on phylogenetic information. This method, UniFrac, measures the phylogenetic distance between sets of taxa in a phylogenetic tree as the fraction of the branch length of the tree that leads to descendants from either one environment o... We introduce here a new method for computing differences between microbial communities based on phylogenetic information. This method, UniFrac, measures the phylogenetic distance between sets of taxa in a phylogenetic tree as the fraction of the branch length of the tree that leads to descendants from either one environment or the other, but not both. UniFrac can be used to determine whether communities are significantly different, to compare many communities simultaneously using clustering and ordination techniques, and to measure the relative contributions of different factors, such as chemistry and geography, to similarities between samples. We demonstrate the utility of UniFrac by applying it to published 16S rRNA gene libraries from cultured isolates and environmental clones of bacteria in marine sediment, water, and ice. Our results reveal that (i) cultured isolates from ice, water, and sediment resemble each other and environmental clone sequences from sea ice, but not environmental clone sequences from sediment and water; (ii) the geographical location does not correlate strongly with bacterial community differences in ice and sediment from the Arctic and Antarctic; and (iii) bacterial communities differ between terrestrially impacted seawater (whether polar or temperate) and warm oligotrophic seawater, whereas those in individual seawater samples are not more similar to each other than to those in sediment or ice samples. These results illustrate that UniFrac provides a new way of characterizing microbial communities, using the wealth of environmental rRNA sequences, and allows quantitative insight into the factors that underlie the distribution of lineages among environments. read more read less

Topics:

UniFrac (67%)67% related to the paper, Phylogenetic tree (51%)51% related to the paper, Sea ice (50%)50% related to the paper
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5,730 Citations
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With SciSpace, you do not need a word template for Applied and Environmental Microbiology.

It automatically formats your research paper to American Society for Microbiology formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

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Time taken to format a paper and Compliance with guidelines

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Applied and Environmental Microbiology format uses unsrt asm custom citation citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Applied and Environmental Microbiology guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Applied and Environmental Microbiology citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Applied and Environmental Microbiology's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo 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:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

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

Our journal submission experts are skilled in submitting papers to various international journals.

After uploading your paper on SciSpace, you would see a button to request a journal submission service for Applied and Environmental Microbiology.

Each submission service is completed within 4 - 5 working days.

Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Applied and Environmental Microbiology Endnote style, according to american-society-for-microbiology guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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