Example of Journal of Chemometrics format
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Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format
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Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format Example of Journal of Chemometrics format
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open access Open Access

Journal of Chemometrics — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Applied Mathematics #129 of 548 down down by 54 ranks
Analytical Chemistry #55 of 122 down down by 6 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 357 Published Papers | 1219 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

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.

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

1.633

12% from 2018

Impact factor for Journal of Chemometrics from 2016 - 2019
Year Value
2019 1.633
2018 1.847
2017 1.5
2016 1.884
graph view Graph view
table view Table view

3.4

26% from 2019

CiteRatio for Journal of Chemometrics from 2016 - 2020
Year Value
2020 3.4
2019 2.7
2018 2.9
2017 3.4
2016 3.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 12% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 26% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

0.47

27% from 2019

SJR for Journal of Chemometrics from 2016 - 2020
Year Value
2020 0.47
2019 0.371
2018 0.468
2017 0.54
2016 0.502
graph view Graph view
table view Table view

1.178

41% from 2019

SNIP for Journal of Chemometrics from 2016 - 2020
Year Value
2020 1.178
2019 0.836
2018 1.04
2017 0.829
2016 0.903
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 27% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 41% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Chemometrics

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Wiley

Journal of Chemometrics

The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to t...... Read More

Mathematics

i
Last updated on
06 Jul 2020
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ISSN
0886-9383
i
Impact Factor
High - 1.274
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1002/CEM.695
Orthogonal projections to latent structures (O-PLS)
Johan Trygg1, Svante Wold1
01 Mar 2002 - Journal of Chemometrics

Abstract:

A generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described. O-PLS removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity). In mathematical terms this is equivalent to removing systematic v... A generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described. O-PLS removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity). In mathematical terms this is equivalent to removing systematic variation in X that is orthogonal to Y. In an earlier paper, Wold et al. (Chemometrics Intell. Lab. Syst. 1998; 44: 175-185) described orthogonal signal correction (OSC). In this paper a method with the same objective but with different means is described. The proposed O-PLS method analyzes the variation explained in each PLS component. The non-correlated systematic variation in X is removed, making interpretation of the resulting PLS model easier and with the additional benefit that the non-correlated variation itself can be analyzed further. As an example, near-infrared (NIR) reflectance spectra of wood chips were analyzed. Applying O-PLS resulted in reduced model complexity with preserved prediction ability, effective removal of non-correlated variation in X and, not least, improved interpretational ability of both correlated and non-correlated variation in the NIR spectra. read more read less
2,096 Citations
Journal Article DOI: 10.1002/CEM.1180020306
PLS regression methods
01 Jun 1988 - Journal of Chemometrics

Abstract:

In this paper we develop the mathematical and statistical structure of PLS regression We show the PLS regression algorithm and how it can be interpreted in model building The basic mathematical principles that lie behind two block PLS are depicted We also show the statistical aspects of the PLS method when it is used for mode... In this paper we develop the mathematical and statistical structure of PLS regression We show the PLS regression algorithm and how it can be interpreted in model building The basic mathematical principles that lie behind two block PLS are depicted We also show the statistical aspects of the PLS method when it is used for model building Finally we show the structure of the PLS decompositions of the data matrices involved read more read less

Topics:

Partial least squares regression (56%)56% related to the paper
1,778 Citations
Journal Article DOI: 10.1002/CEM.800
Statistical process monitoring: basics and beyond
S. Joe Qin1
01 Aug 2003 - Journal of Chemometrics

Abstract:

This paper provides an overview and analysis of statistical process monitoring methods for fault detection, identification and reconstruction. Several fault detection indices in the literature are analyzed and unified. Fault reconstruction for both sensor and process faults is presented which extends the traditional missing v... This paper provides an overview and analysis of statistical process monitoring methods for fault detection, identification and reconstruction. Several fault detection indices in the literature are analyzed and unified. Fault reconstruction for both sensor and process faults is presented which extends the traditional missing value replacement method. Fault diagnosis methods that have appeared recently are reviewed. The reconstruction-based approach and the contribution-based approach are analyzed and compared with simulation and industrial examples. The complementary nature of the reconstruction- and contribution-based approaches is highlighted. An industrial example of polyester film process monitoring is given to demonstrate the power of the contribution- and reconstruction-based approaches in a hierarchical monitoring framework. Finally we demonstrate that the reconstruction-based framework provides a convenient way for fault analysis, including fault detectability, reconstructability and identifiability conditions, resolving many theoretical issues in process monitoring. Additional topics are summarized at the end of the paper for future investigation. Copyright © 2003 John Wiley & Sons, Ltd. read more read less

Topics:

Fault detection and isolation (62%)62% related to the paper, Fault (power engineering) (53%)53% related to the paper, Statistical process control (52%)52% related to the paper
1,408 Citations
Journal Article DOI: 10.1002/CEM.1006
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification†
Max Bylesjö1, Mattias Rantalainen2, Olivier Cloarec2, Jeremy K. Nicholson2, Elaine Holmes2, Johan Trygg1
01 Aug 2006 - Journal of Chemometrics

Abstract:

The characteristics of the OPLS method have been investigated for the purpose of discriminant analysis (OPLS-DA). We demonstrate how class-orthogonal variation can be exploited to augment classific ... The characteristics of the OPLS method have been investigated for the purpose of discriminant analysis (OPLS-DA). We demonstrate how class-orthogonal variation can be exploited to augment classific ... read more read less

Topics:

OPLS (58%)58% related to the paper, Linear discriminant analysis (52%)52% related to the paper, Partial least squares regression (50%)50% related to the paper
1,179 Citations
open accessOpen access Journal Article DOI: 10.1002/CEM.801
A new efficient method for determining the number of components in PARAFAC models
Rasmus Bro, Henk A.L. Kiers1
01 May 2003 - Journal of Chemometrics

Abstract:

A new diagnostic called the core consistency diagnostic (CORCONDIA) is suggested for determining the proper number of components for multiway models. It applies especially to the parallel factor analysis (PARAFAC) model, but also to other models that can be considered as restricted Tucker3 models. It is based on scrutinizing ... A new diagnostic called the core consistency diagnostic (CORCONDIA) is suggested for determining the proper number of components for multiway models. It applies especially to the parallel factor analysis (PARAFAC) model, but also to other models that can be considered as restricted Tucker3 models. It is based on scrutinizing the ‘appropriateness’ of the structural model based on the data and the estimated parameters of gradually augmented models. A PARAFAC model (employing dimension-wise combinations of components for all modes) is called appropriate if adding other combinations of the same components does not improve the fit considerably. It is proposed to choose the largest model that is still sufficiently appropriate. Using examples from a range of different types of data, it is shown that the core consistency diagnostic is an effective tool for determining the appropriate number of components in e.g. PARAFAC models. However, it is also shown, using simulated data, that the theoretical understanding of CORCONDIA is not yet complete. Copyright © 2003 John Wiley & Sons, Ltd. read more read less
1,110 Citations
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Journal of Chemometrics format uses apa citation style.

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Frequently asked questions

1. Can I write Journal of Chemometrics in LaTeX?

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

2. Do you follow the Journal of Chemometrics guidelines?

Yes, the template is compliant with the Journal of Chemometrics 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 Journal of Chemometrics?

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 Journal of Chemometrics citation style.

4. Can I use the Journal of Chemometrics templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Chemometrics.

5. Can I use a manuscript in Journal of Chemometrics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Journal of Chemometrics that you can download at the end.

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7. Where can I find the template for the Journal of Chemometrics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Chemometrics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Chemometrics's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's Journal of Chemometrics is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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11. What is the output that I would get after using Journal of Chemometrics?

After writing your paper autoformatting in Journal of Chemometrics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Chemometrics's impact factor high enough that I should try publishing my article there?

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 these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Journal of Chemometrics?

SHERPA/RoMEO Database

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 Journal of Chemometrics. 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:
  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.

14. What are the most common citation types In Journal of Chemometrics?

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

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

15. How do I submit my article to the Journal of Chemometrics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Chemometrics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Chemometrics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Journal of Chemometrics Endnote style according to Elsevier guidelines.

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