Example of Molecular Ecology Resources format
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Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format
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Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format Example of Molecular Ecology Resources format
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open access Open Access
recommended Recommended

Molecular Ecology Resources — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Ecology, Evolution, Behavior and Systematics #17 of 647 down down by 2 ranks
Biotechnology #22 of 282 down down by 10 ranks
Genetics #26 of 325 down down by 8 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 529 Published Papers | 6143 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 27/06/2020
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Related Journals

open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 6.4
SJR: 0.745
SNIP: 1.278
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 7.3
SJR: 2.628
SNIP: 1.713
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 9.0
SJR: 3.587
SNIP: 1.457

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.

6.286

11% from 2018

Impact factor for Molecular Ecology Resources from 2016 - 2019
Year Value
2019 6.286
2018 7.049
2017 7.059
2016 7.332
graph view Graph view
table view Table view

11.6

2% from 2019

CiteRatio for Molecular Ecology Resources from 2016 - 2020
Year Value
2020 11.6
2019 11.8
2018 12.9
2017 12.2
2016 10.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 11% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 2% 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.

2.96

0% from 2019

SJR for Molecular Ecology Resources from 2016 - 2020
Year Value
2020 2.96
2019 2.969
2018 3.461
2017 3.355
2016 2.986
graph view Graph view
table view Table view

2.066

1% from 2019

SNIP for Molecular Ecology Resources from 2016 - 2020
Year Value
2020 2.066
2019 2.085
2018 2.4
2017 2.61
2016 2.207
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 0% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 1% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Molecular Ecology Resources

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Wiley

Molecular Ecology Resources

Molecular Ecology Resources is a vehicle for the rapid dissemination of new tools for molecular genetic studies in natural populations. Papers that report on the ecology, evolution, behaviour, and conservation of organisms, rather than on technical issues, should be submitted ...... Read More

Ecology, Evolution, Behavior and Systematics

Biotechnology

Genetics

Agricultural and Biological Sciences

i
Last updated on
27 Jun 2020
i
ISSN
1755-098X
i
Impact Factor
High - 2.927
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]
i
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: 10.1111/J.1755-0998.2010.02847.X
Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows
Laurent Excoffier1, Heidi E. L. Lischer1

Abstract:

We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovati... We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. read more read less
13,581 Citations
Journal Article DOI: 10.1111/J.1471-8286.2007.01931.X
genepop'007: a complete re-implementation of the genepop software for Windows and Linux
François Rousset1

Abstract:

This note summarizes developments of the genepop software since its first description in 1995, and in particular those new to version 4.0: an extended input format, several estimators of neighbourhood size under isolation by distance, new estimators and confidence intervals for null allele frequency, and less important extens... This note summarizes developments of the genepop software since its first description in 1995, and in particular those new to version 4.0: an extended input format, several estimators of neighbourhood size under isolation by distance, new estimators and confidence intervals for null allele frequency, and less important extensions to previous options. genepop now runs under Linux as well as under Windows, and can be entirely controlled by batch calls. read more read less
8,171 Citations
Journal Article DOI: 10.1111/J.1755-0998.2010.02924.X
Morphoj: an integrated software package for geometric morphometrics
Christian Peter Klingenberg1

Abstract:

Increasingly, data on shape are analysed in combination with molecular genetic or ecological information, so that tools for geometric morphometric analysis are required. Morphometric studies most often use the arrangements of morphological landmarks as the data source and extract shape information from them by Procrustes supe... Increasingly, data on shape are analysed in combination with molecular genetic or ecological information, so that tools for geometric morphometric analysis are required. Morphometric studies most often use the arrangements of morphological landmarks as the data source and extract shape information from them by Procrustes superimposition. The MorphoJ software combines this approach with a wide range of methods for shape analysis in different biological contexts. The program offers an integrated and user-friendly environment for standard multivariate analyses such as principal components, discriminant analysis and multivariate regression as well as specialized applications including phylogenetics, quantitative genetics and analyses of modularity in shape data. MorphoJ is written in Java and versions for the Windows, Macintosh and Unix/Linux platforms are freely available from http://www.flywings.org.uk/MorphoJ_page.htm. read more read less

Topics:

Shape analysis (digital geometry) (52%)52% related to the paper, Software (50%)50% related to the paper
3,122 Citations
open accessOpen access Journal Article DOI: 10.1111/J.1755-0998.2009.02591.X
Inferring weak population structure with the assistance of sample group information.
Melissa J. Hubisz1, Daniel Falush2, Matthew Stephens, Jonathan K. Pritchard1

Abstract:

Genetic clustering algorithms require a certain amount of data to produce informative results. In the common situation that individuals are sampled at several locations, we show how sample group information can be used to achieve better results when the amount of data is limited. New models are developed for the structure pro... Genetic clustering algorithms require a certain amount of data to produce informative results. In the common situation that individuals are sampled at several locations, we show how sample group information can be used to achieve better results when the amount of data is limited. New models are developed for the structure program, both for the cases of admixture and no admixture. These models work by modifying the prior distribution for each individual's population assignment. The new prior distributions allow the proportion of individuals assigned to a particular cluster to vary by location. The models are tested on simulated data, and illustrated using microsatellite data from the CEPH Human Genome Diversity Panel. We demonstrate that the new models allow structure to be detected at lower levels of divergence, or with less data, than the original structure models or principal components methods, and that they are not biased towards detecting structure when it is not present. These models are implemented in a new version of structure which is freely available online at http://pritch.bsd.uchicago.edu/structure.html. read more read less

Topics:

Population (54%)54% related to the paper, Cluster analysis (51%)51% related to the paper
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3,105 Citations
open accessOpen access Journal Article DOI: 10.1111/1755-0998.12387
Clumpak: a program for identifying clustering modes and packaging population structure inferences across K
Naama M. Kopelman1, Jonathan Mayzel1, Mattias Jakobsson2, Noah A. Rosenberg3, Itay Mayrose1

Abstract:

The identification of the genetic structure of populations from multilocus genotype data has become a central component of modern population-genetic data analysis. Application of model-based clustering programs often entails a number of steps, in which the user considers different modelling assumptions, compares results acros... The identification of the genetic structure of populations from multilocus genotype data has become a central component of modern population-genetic data analysis. Application of model-based clustering programs often entails a number of steps, in which the user considers different modelling assumptions, compares results across different predetermined values of the number of assumed clusters (a parameter typically denoted K), examines multiple independent runs for each fixed value of K, and distinguishes among runs belonging to substantially distinct clustering solutions. Here, we present CLUMPAK (Cluster Markov Packager Across K), a method that automates the postprocessing of results of model-based population structure analyses. For analysing multiple independent runs at a single K value, CLUMPAK identifies sets of highly similar runs, separating distinct groups of runs that represent distinct modes in the space of possible solutions. This procedure, which generates a consensus solution for each distinct mode, is performed by the use of a Markov clustering algorithm that relies on a similarity matrix between replicate runs, as computed by the software CLUMPP. Next, CLUMPAK identifies an optimal alignment of inferred clusters across different values of K, extending a similar approach implemented for a fixed K in CLUMPP and simplifying the comparison of clustering results across different K values. CLUMPAK incorporates additional features, such as implementations of methods for choosing K and comparing solutions obtained by different programs, models, or data subsets. CLUMPAK, available at http://clumpak.tau.ac.il, simplifies the use of model-based analyses of population structure in population genetics and molecular ecology. read more read less

Topics:

Correlation clustering (60%)60% related to the paper, Cluster analysis (58%)58% related to the paper, Fuzzy clustering (56%)56% related to the paper, Markov chain (51%)51% related to the paper
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2,252 Citations
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Molecular Ecology Resources format uses apa citation style.

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Frequently asked questions

1. Can I write Molecular Ecology Resources in LaTeX?

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

2. Do you follow the Molecular Ecology Resources guidelines?

Yes, the template is compliant with the Molecular Ecology Resources 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 Molecular Ecology Resources?

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 Molecular Ecology Resources citation style.

4. Can I use the Molecular Ecology Resources 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 Molecular Ecology Resources.

5. Can I use a manuscript in Molecular Ecology Resources 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 Molecular Ecology Resources that you can download at the end.

6. How long does it usually take you to format my papers in Molecular Ecology Resources?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Molecular Ecology Resources.

7. Where can I find the template for the Molecular Ecology Resources?

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 Molecular Ecology Resources'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 Molecular Ecology Resources'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.

9. Molecular Ecology Resources an online tool or is there a desktop version?

SciSpace's Molecular Ecology Resources 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.

10. I cannot find my template in your gallery. Can you create it for me like Molecular Ecology Resources?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Molecular Ecology Resources?”

11. What is the output that I would get after using Molecular Ecology Resources?

After writing your paper autoformatting in Molecular Ecology Resources, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Molecular Ecology Resources'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 Molecular Ecology Resources?

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 Molecular Ecology Resources. 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 Molecular Ecology Resources?

The 5 most common citation types in order of usage for Molecular Ecology Resources 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 Molecular Ecology Resources?

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 Molecular Ecology Resources's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Molecular Ecology Resources 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 Molecular Ecology Resources Endnote style according to Elsevier 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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