Example of Methods in Ecology and Evolution format
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Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format
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Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format Example of Methods in Ecology and Evolution format
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Methods in Ecology and Evolution — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Ecology, Evolution, Behavior and Systematics #16 of 647 up up by 3 ranks
Ecological Modeling #2 of 32 -
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 761 Published Papers | 8937 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 21/06/2020
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Related Journals

open access Open Access

Elsevier

Quality:  
High
CiteRatio: 4.9
SJR: 0.774
SNIP: 1.158
open access Open Access

Elsevier

Quality:  
High
CiteRatio: 5.2
SJR: 1.039
SNIP: 1.058
open access Open Access

Elsevier

Quality:  
Good
CiteRatio: 3.5
SJR: 0.537
SNIP: 0.969
open access Open Access

Hindawi

Quality:  
High
CiteRatio: 3.1
SJR: 0.429
SNIP: 1.331

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.

6.511

8% from 2018

Impact factor for Methods in Ecology and Evolution from 2016 - 2019
Year Value
2019 6.511
2018 7.099
2017 6.363
2016 5.708
graph view Graph view
table view Table view

11.7

2% from 2019

CiteRatio for Methods in Ecology and Evolution from 2016 - 2020
Year Value
2020 11.7
2019 11.5
2018 10.6
2017 10.1
2016 11.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 8% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased 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.

3.425

14% from 2019

SJR for Methods in Ecology and Evolution from 2016 - 2020
Year Value
2020 3.425
2019 3.984
2018 4.028
2017 4.018
2016 4.982
graph view Graph view
table view Table view

2.489

10% from 2019

SNIP for Methods in Ecology and Evolution from 2016 - 2020
Year Value
2020 2.489
2019 2.762
2018 2.636
2017 2.446
2016 2.615
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 14% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

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Wiley

Methods in Ecology and Evolution

Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology & evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for t...... Read More

Ecology, Evolution, Behavior and Systematics

Ecological Modelling

Agricultural and Biological Sciences

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Last updated on
21 Jun 2020
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ISSN
2041-210X
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Impact Factor
High - 2.384
i
Open Access
Yes
i
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
apa
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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

Journal Article DOI: 10.1111/J.2041-210X.2012.00261.X
A general and simple method for obtaining R2 from generalized linear mixed-effects models
Shinichi Nakagawa1, Shinichi Nakagawa2, Holger Schielzeth3

Abstract:

Summary The use of both linear and generalized linear mixed-effects models (LMMs and GLMMs) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of ecology and evolution. Information criteria, such as Akaike Information Criterion (AIC), are usually presented a... Summary The use of both linear and generalized linear mixed-effects models (LMMs and GLMMs) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of ecology and evolution. Information criteria, such as Akaike Information Criterion (AIC), are usually presented as model comparison tools for mixed-effects models. The presentation of ‘variance explained’ (R2) as a relevant summarizing statistic of mixed-effects models, however, is rare, even though R2 is routinely reported for linear models (LMs) and also generalized linear models (GLMs). R2 has the extremely useful property of providing an absolute value for the goodness-of-fit of a model, which cannot be given by the information criteria. As a summary statistic that describes the amount of variance explained, R2 can also be a quantity of biological interest. One reason for the under-appreciation of R2 for mixed-effects models lies in the fact that R2 can be defined in a number of ways. Furthermore, most definitions of R2 for mixed-effects have theoretical problems (e.g. decreased or negative R2 values in larger models) and/or their use is hindered by practical difficulties (e.g. implementation). Here, we make a case for the importance of reporting R2 for mixed-effects models. We first provide the common definitions of R2 for LMs and GLMs and discuss the key problems associated with calculating R2 for mixed-effects models. We then recommend a general and simple method for calculating two types of R2 (marginal and conditional R2) for both LMMs and GLMMs, which are less susceptible to common problems. This method is illustrated by examples and can be widely employed by researchers in any fields of research, regardless of software packages used for fitting mixed-effects models. The proposed method has the potential to facilitate the presentation of R2 for a wide range of circumstances. read more read less

Topics:

Linear model (56%)56% related to the paper, Akaike information criterion (56%)56% related to the paper, Multilevel model (55%)55% related to the paper, Generalized linear model (50%)50% related to the paper
View PDF
7,749 Citations
open accessOpen access Journal Article DOI: 10.1111/J.2041-210X.2011.00169.X
phytools: an R package for phylogenetic comparative biology (and other things)

Abstract:

Summary 1. Here, I present a new, multifunctional phylogenetics package, phytools, for the R statistical computing environment. 2. The focus of the package is on methods for phylogenetic comparative biology; however, it also includes tools for tree inference, phylogeny input/output, plotting, manipulation and several othe... Summary 1. Here, I present a new, multifunctional phylogenetics package, phytools, for the R statistical computing environment. 2. The focus of the package is on methods for phylogenetic comparative biology; however, it also includes tools for tree inference, phylogeny input/output, plotting, manipulation and several other tasks. 3. I describe and tabulate the major methods implemented in phytools, and in addition provide some demonstration of its use in the form of two illustrative examples. 4. Finally, I conclude by briefly describing an active web-log that I use to document present and future developments for phytools. I also note other web resources for phylogenetics in the R computational environment. read more read less
View PDF
6,404 Citations
Journal Article DOI: 10.1111/J.2041-210X.2009.00001.X
A protocol for data exploration to avoid common statistical problems
Alain F. Zuur1, Elena N. Ieno1, Chris S. Elphick2

Abstract:

Summary 1. While teaching statistics to ecologists, the lead authors of this paper have noticed common statistical problems. If a random sample of their work (including scientific papers) produced before doing these courses were selected, half would probably contain violations of the underlying assumptions of the statistical ... Summary 1. While teaching statistics to ecologists, the lead authors of this paper have noticed common statistical problems. If a random sample of their work (including scientific papers) produced before doing these courses were selected, half would probably contain violations of the underlying assumptions of the statistical techniques employed. 2. Some violations have little impact on the results or ecological conclusions; yet others increase type I or type II errors, potentially resulting in wrong ecological conclusions. Most of these violations can be avoided by applying better data exploration. These problems are especially troublesome in applied ecology, where management and policy decisions are often at stake. 3. Here, we provide a protocol for data exploration; discuss current tools to detect outliers, heterogeneity of variance, collinearity, dependence of observations, problems with interactions, double zeros in multivariate analysis, zero inflation in generalized linear modelling, and the correct type of relationships between dependent and independent variables; and provide advice on how to address these problems when they arise. We also address misconceptions about normality, and provide advice on data transformations. 4. Data exploration avoids type I and type II errors, among other problems, thereby reducing the chance of making wrong ecological conclusions and poor recommendations. It is therefore essential for good quality management and policy based on statistical analyses. read more read less

Topics:

Statistical conclusion validity (59%)59% related to the paper, Variables (51%)51% related to the paper, Type I and type II errors (51%)51% related to the paper
View PDF
5,894 Citations
open accessOpen access Journal Article DOI: 10.1111/2041-210X.12410
popart: full-feature software for haplotype network construction
Jessica W. Leigh1, David Bryant1

Abstract:

Summary Haplotype networks are an intuitive method for visualising relationships between individual genotypes at the population level. Here, we present popart, an integrated software package that provides a comprehensive implementation of haplotype network methods, phylogeographic visualisation tools and standard stat... Summary Haplotype networks are an intuitive method for visualising relationships between individual genotypes at the population level. Here, we present popart, an integrated software package that provides a comprehensive implementation of haplotype network methods, phylogeographic visualisation tools and standard statistical tests, together with publication-ready figure production. popart also provides a platform for the implementation and distribution of new network-based methods – we describe one such new method, integer neighbour-joining. The software is open source and freely available for all major operating systems. read more read less
View PDF
3,634 Citations
Journal Article DOI: 10.1111/2041-210X.12628
ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data
Guangchuang Yu1, David K. Smith1, Hongbo Zhu1, Yi Guan1, Tommy Tsan-Yuk Lam1

Abstract:

Summary We present an r package, ggtree, which provides programmable visualization and annotation of phylogenetic trees. ggtree can read more tree file formats than other softwares, including newick, nexus, NHX, phylip and jplace formats, and support visualization of phylo, multiphylo, phylo4, phylo4d, obkdata and phyloseq ... Summary We present an r package, ggtree, which provides programmable visualization and annotation of phylogenetic trees. ggtree can read more tree file formats than other softwares, including newick, nexus, NHX, phylip and jplace formats, and support visualization of phylo, multiphylo, phylo4, phylo4d, obkdata and phyloseq tree objects defined in other r packages. It can also extract the tree/branch/node-specific and other data from the analysis outputs of beast, epa, hyphy, paml, phylodog, pplacer, r8s, raxml and revbayes software, and allows using these data to annotate the tree. The package allows colouring and annotation of a tree by numerical/categorical node attributes, manipulating a tree by rotating, collapsing and zooming out clades, highlighting user selected clades or operational taxonomic units and exploration of a large tree by zooming into a selected portion. A two-dimensional tree can be drawn by scaling the tree width based on an attribute of the nodes. A tree can be annotated with an associated numerical matrix (as a heat map), multiple sequence alignment, subplots or silhouette images. The package ggtree is released under the artistic-2.0 license. The source code and documents are freely available through bioconductor (http://www.bioconductor.org/packages/ggtree). read more read less

Topics:

Tree (data structure) (61%)61% related to the paper, Phylogenetic tree (55%)55% related to the paper, Node (computer science) (51%)51% related to the paper, Bioconductor (51%)51% related to the paper
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2,692 Citations
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Methods in Ecology and Evolution format uses apa citation style.

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Frequently asked questions

1. Can I write Methods in Ecology and Evolution in LaTeX?

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

2. Do you follow the Methods in Ecology and Evolution guidelines?

Yes, the template is compliant with the Methods in Ecology and Evolution 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 Methods in Ecology and Evolution?

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 Methods in Ecology and Evolution citation style.

4. Can I use the Methods in Ecology and Evolution 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 Methods in Ecology and Evolution.

5. Can I use a manuscript in Methods in Ecology and Evolution 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 Methods in Ecology and Evolution that you can download at the end.

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7. Where can I find the template for the Methods in Ecology and Evolution?

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8. Can I reformat my paper to fit the Methods in Ecology and Evolution'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 Methods in Ecology and Evolution 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 Methods in Ecology and Evolution?

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

12. Is Methods in Ecology and Evolution'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 Methods in Ecology and Evolution?

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 Methods in Ecology and Evolution. 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 Methods in Ecology and Evolution?

The 5 most common citation types in order of usage for Methods in Ecology and Evolution 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 Methods in Ecology and Evolution?

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16. Can I download Methods in Ecology and Evolution 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 Methods in Ecology and Evolution Endnote style according to Elsevier guidelines.

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