Example of Analytical Methods format
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Example of Analytical Methods format Example of Analytical Methods format Example of Analytical Methods format
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Example of Analytical Methods format Example of Analytical Methods format Example of Analytical Methods format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
ISSN: 17599660 e-ISSN: 17599679

Analytical Methods — Template for authors

Categories Rank Trend in last 3 yrs
Engineering (all) #40 of 297 down down by 7 ranks
Chemical Engineering (all) #67 of 279 down down by 2 ranks
Analytical Chemistry #42 of 122 up up by 1 rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 2751 Published Papers | 13286 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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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.

2.596

9% from 2018

Impact factor for Analytical Methods from 2016 - 2019
Year Value
2019 2.596
2018 2.378
2017 2.073
2016 1.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 9% 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.

4.8

7% from 2019

CiteRatio for Analytical Methods from 2016 - 2020
Year Value
2020 4.8
2019 4.5
2018 4.2
2017 3.9
2016 3.3
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 7% in last years.
  • 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.

0.615

1% from 2019

SJR for Analytical Methods from 2016 - 2020
Year Value
2020 0.615
2019 0.607
2018 0.581
2017 0.619
2016 0.595
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 1% 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.

0.724

3% from 2019

SNIP for Analytical Methods from 2016 - 2020
Year Value
2020 0.724
2019 0.704
2018 0.609
2017 0.635
2016 0.629
graph view Graph view
table view Table view

insights Insights

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

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Analytical Methods

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Royal Society of Chemistry

Analytical Methods

Approved by publishing and review experts on SciSpace, this template is built as per for Analytical Methods formatting guidelines as mentioned in Royal Society of Chemistry author instructions. The current version was created on 15 Jun 2020 and has been used by 354 authors to write and format their manuscripts to this journal.

Engineering

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Last updated on
15 Jun 2020
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ISSN
1759-9660
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
numbers
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Citation Type
Numbered (Superscripted)
25
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Bibliography Example
C. W. J. Beenakker, Phys. Rev. Lett., 2006, 97, 067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1039/C3AY41907J
Principal component analysis
Rasmus Bro1, Age K. Smilde2, Age K. Smilde1
10 Apr 2014 - Analytical Methods

Abstract:

Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric area... Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable. read more read less

Topics:

Principal component analysis (59%)59% related to the paper, Chemometrics (53%)53% related to the paper
View PDF
1,119 Citations
open accessOpen access Journal Article DOI: 10.1039/C3AY41160E
Fluorescence spectroscopy and multi-way techniques. PARAFAC
Kathleen R. Murphy1, Colin A. Stedmon2, Daniel Graeber3, Rasmus Bro4
07 Nov 2013 - Analytical Methods

Abstract:

PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluor... PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy. read more read less

Topics:

Fluorescence spectroscopy (52%)52% related to the paper
View PDF
823 Citations
Journal Article DOI: 10.1039/C3AY40582F
Classification tools in chemistry. Part 1: linear models. PLS-DA
Davide Ballabio1, Viviana Consonni1
26 Jul 2013 - Analytical Methods

Abstract:

The common steps to calibrate and validate classification models based on partial least squares discriminant analysis are discussed in the present tutorial. All issues to be evaluated during model training and validation are introduced and explained using a chemical dataset, composed of toxic and non-toxic sediment samples. T... The common steps to calibrate and validate classification models based on partial least squares discriminant analysis are discussed in the present tutorial. All issues to be evaluated during model training and validation are introduced and explained using a chemical dataset, composed of toxic and non-toxic sediment samples. The analysis was carried out with MATLAB routines, which are available in the ESI of this tutorial, together with the dataset and a detailed list of all MATLAB instructions used for the analysis. read more read less

Topics:

Partial least squares regression (56%)56% related to the paper, Linear discriminant analysis (54%)54% related to the paper
615 Citations
open accessOpen access Journal Article DOI: 10.1039/C6AY02415G
Sampling, isolating and identifying microplastics ingested by fish and invertebrates
Amy Lusher1, Natalie A.C. Welden2, Paula Sobral3, Matthew Cole4
02 Mar 2017 - Analytical Methods

Abstract:

Microplastic debris (<5 mm) is a prolific environmental pollutant, found worldwide in marine, freshwater and terrestrial ecosystems. Interactions between biota and microplastics are prevalent, and there is growing evidence that microplastics can incite significant health effects in exposed organisms. To date, the methods used... Microplastic debris (<5 mm) is a prolific environmental pollutant, found worldwide in marine, freshwater and terrestrial ecosystems. Interactions between biota and microplastics are prevalent, and there is growing evidence that microplastics can incite significant health effects in exposed organisms. To date, the methods used to quantify such interactions have varied greatly between studies. Here, we critically review methods for sampling, isolating and identifying microplastics ingested by environmentally and laboratory exposed fish and invertebrates. We aim to draw attention to the strengths and weaknesses of the suite of published microplastic extraction and enumeration techniques. Firstly, we highlight the risk of microplastic losses and accumulation during biotic sampling and storage, and suggest protocols for mitigating contamination in the field and laboratory. We evaluate a suite of methods for extracting microplastics ingested by biota, including dissection, depuration, digestion and density separation. Lastly, we consider the applicability of visual identification and chemical analyses in categorising microplastics. We discuss the urgent need for the standardisation of protocols to promote consistency in data collection and analysis. Harmonized methods will allow for more accurate assessment of the impacts and risks microplastics pose to biota and increase comparability between studies. read more read less

Topics:

Microplastics (68%)68% related to the paper
View PDF
437 Citations
open accessOpen access Journal Article DOI: 10.1039/C3AY41935E
OpenFluor- an online spectral library of auto-fluorescence by organic compounds in the environment
Kathleen R. Murphy1, Colin A. Stedmon, Philip Wenig, Rasmus Bro2
17 Jan 2014 - Analytical Methods

Abstract:

An online repository of published organic fluorescence spectra has been developed, which can be searched for quantitative matches with any set of unknown spectra. It fills a critical gap by increasing access to measured and modelled (PARAFAC) spectra, and linking across studies and systems to reveal "global" fluorescence trends. An online repository of published organic fluorescence spectra has been developed, which can be searched for quantitative matches with any set of unknown spectra. It fills a critical gap by increasing access to measured and modelled (PARAFAC) spectra, and linking across studies and systems to reveal "global" fluorescence trends. read more read less
View PDF
412 Citations
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With SciSpace, you do not need a word template for Analytical Methods.

It automatically formats your research paper to Royal Society of Chemistry 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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Analytical Methods format uses numbers 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 Analytical Methods 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 Analytical Methods 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 Analytical Methods'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 Analytical Methods.

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 Analytical Methods Endnote style, according to royal-society-of-chemistry guidelines.

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