Example of Molecular Ecology format
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Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format
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Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format Example of Molecular Ecology format
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Molecular Ecology — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Ecology, Evolution, Behavior and Systematics #24 of 647 down down by 2 ranks
Genetics #34 of 325 down down by 2 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1505 Published Papers | 14556 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/07/2020
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Related Journals

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SJR: 2.628
SNIP: 1.713
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CiteRatio: 16.5
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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.

5.163

12% from 2018

Impact factor for Molecular Ecology from 2016 - 2019
Year Value
2019 5.163
2018 5.855
2017 6.131
2016 6.086
graph view Graph view
table view Table view

9.7

3% from 2019

CiteRatio for Molecular Ecology from 2016 - 2020
Year Value
2020 9.7
2019 10.0
2018 9.8
2017 9.8
2016 10.9
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 decreased by 3% 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.

2.619

11% from 2019

SJR for Molecular Ecology from 2016 - 2020
Year Value
2020 2.619
2019 2.935
2018 3.057
2017 3.283
2016 3.572
graph view Graph view
table view Table view

1.516

2% from 2019

SNIP for Molecular Ecology from 2016 - 2020
Year Value
2020 1.516
2019 1.482
2018 1.575
2017 1.697
2016 1.578
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 11% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

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Wiley

Molecular Ecology

Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecological...... Read More

Ecology, Evolution, Behavior and Systematics

Genetics

Agricultural and Biological Sciences

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Last updated on
03 Jul 2020
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ISSN
0962-1083
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Impact Factor
High - 1.538
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Open Access
Yes
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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
apa
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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

open accessOpen access Journal Article DOI: 10.1111/J.1365-294X.2005.02553.X
Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.
Guillaume Evanno1, Sébastien Regnaut1, Jérôme Goudet1
01 Jul 2005 - Molecular Ecology

Abstract:

The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of indivi... The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample. read more read less

Topics:

Bayes' theorem (52%)52% related to the paper, Population (52%)52% related to the paper, Sample size determination (50%)50% related to the paper
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18,572 Citations
Journal Article DOI: 10.1046/J.1365-294X.2000.01020.X
TCS: a computer program to estimate gene genealogies.
Mark J. Clement1, David Posada1, Keith A. Crandall1
01 Oct 2000 - Molecular Ecology
9,118 Citations
Journal Article DOI: 10.1111/J.1365-294X.1993.TB00005.X
ITS primers with enhanced specificity for basidiomycetes--application to the identification of mycorrhizae and rusts.
M. Gardes1, Thomas D. Bruns1
01 Apr 1993 - Molecular Ecology

Abstract:

We have designed two taxon-selective primers for the internal transcribed spacer (ITS) region in the nuclear ribosomal repeat unit. These primers, ITS1-F and ITS4-B, were intended to be specific to fungi and basidiomycetes, respectively. We have tested the specificity of these primers against 13 species of ascomycetes, 14 of ... We have designed two taxon-selective primers for the internal transcribed spacer (ITS) region in the nuclear ribosomal repeat unit. These primers, ITS1-F and ITS4-B, were intended to be specific to fungi and basidiomycetes, respectively. We have tested the specificity of these primers against 13 species of ascomycetes, 14 of basidiomycetes, and 15 of plants. Our results showed that ITS4-B, when paired with either a 'universal' primer ITS1 or the fungal-specific primer ITS1-F, efficiently amplified DNA from all basidiomycetes and discriminated against ascomycete DNAs. The results with plants were not as clearcut. The ITS1-F/ITS4-B primer pair produced a small amount of PCR product for certain plant species, but the quantity was in most cases less than that produced by the 'universal' ITS primers. However, under conditions where both plant and fungal DNAs were present, the fungal DNA was amplified to the apparent exclusion of plant DNA. ITS1-F/ITS4-B preferential amplification was shown to be particularly useful for detection and analysis of the basidiomycete component in ectomycorrhizae and in rust-infected tissues. These primers can be used to study the structure of ectomycorrhizal communities or the distribution of rusts on alternate hosts. read more read less

Topics:

Fungal genetics (55%)55% related to the paper, Internal transcribed spacer (50%)50% related to the paper
8,128 Citations
Journal Article DOI: 10.1111/J.1365-294X.2007.03089.X
Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.
Steven T. Kalinowski1, Mark L. Taper1, T. C. Marshall
01 Mar 2007 - Molecular Ecology

Abstract:

Genotypes are frequently used to identify parentage. Such analysis is notoriously vulnerable to genotyping error, and there is ongoing debate regarding how to solve this problem. Many scientists have used the computer program CERVUS to estimate parentage, and have taken advantage of its option to allow for genotyping error. I... Genotypes are frequently used to identify parentage. Such analysis is notoriously vulnerable to genotyping error, and there is ongoing debate regarding how to solve this problem. Many scientists have used the computer program CERVUS to estimate parentage, and have taken advantage of its option to allow for genotyping error. In this study, we show that the likelihood equations used by versions 1.0 and 2.0 of CERVUS to accommodate genotyping error miscalculate the probability of observing an erroneous genotype. Computer simulation and reanalysis of paternity in Rum red deer show that correcting this error increases success in paternity assignment, and that there is a clear benefit to accommodating genotyping errors when errors are present. A new version of CERVUS (3.0) implementing the corrected likelihood equations is available at http://www.fieldgenetics.com. read more read less
4,562 Citations
Journal Article DOI: 10.1046/J.1365-294X.1998.00374.X
Statistical confidence for likelihood-based paternity inference in natural populations
T. C. Marshall1, Jon Slate1, Loeske E. B. Kruuk1, Josephine M. Pemberton1
01 May 1998 - Molecular Ecology

Abstract:

Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating t... Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers. read more read less

Topics:

Paternity Index (66%)66% related to the paper, Population (52%)52% related to the paper
4,076 Citations
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Molecular Ecology format uses apa citation style.

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Frequently asked questions

1. Can I write Molecular Ecology 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 guidelines and auto format it.

2. Do you follow the Molecular Ecology guidelines?

Yes, the template is compliant with the Molecular Ecology 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?

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 citation style.

4. Can I use the Molecular Ecology 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.

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

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

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.

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

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'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'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 an online tool or is there a desktop version?

SciSpace's Molecular Ecology 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?

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?”

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

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

12. Is Molecular Ecology'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?

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. 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?

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

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

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

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