Example of Mammalian Genome format
Recent searches

Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format Example of Mammalian Genome format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Mammalian Genome — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Genetics #114 of 325 up up by 9 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 171 Published Papers | 918 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 05/07/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

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
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 11.0
SJR: 3.719
SNIP: 1.882

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.

2.287

2% from 2018

Impact factor for Mammalian Genome from 2016 - 2019
Year Value
2019 2.287
2018 2.343
2017 2.687
2016 2.509
graph view Graph view
table view Table view

5.4

15% from 2019

CiteRatio for Mammalian Genome from 2016 - 2020
Year Value
2020 5.4
2019 4.7
2018 4.5
2017 4.9
2016 3.8
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 2% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 15% 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.

1.186

10% from 2019

SJR for Mammalian Genome from 2016 - 2020
Year Value
2020 1.186
2019 1.082
2018 1.704
2017 1.647
2016 1.42
graph view Graph view
table view Table view

0.772

29% from 2019

SNIP for Mammalian Genome from 2016 - 2020
Year Value
2020 0.772
2019 0.599
2018 0.717
2017 0.708
2016 0.685
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • SNIP of this journal has increased by 29% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Mammalian Genome

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

Springer

Mammalian Genome

Mammalian Genome is devoted to studies of mammalian genomics and genetics, serving as a vehicle for the dissemination of work in the emerging field of functional genomics. Mammalian Genome focuses on the experimental, theoretical, and technical aspects of genomics and genetics...... Read More

Genetics

Biochemistry, Genetics and Molecular Biology

i
Last updated on
05 Jul 2020
i
ISSN
0938-8990
i
Impact Factor
Medium - 0.808
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (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: 10.1007/S00335-001-1016-3
Map Manager QTX, cross-platform software for genetic mapping.
Kenneth F. Manly1, Robert H. Cudmore1, Jane M. Meer1
01 Dec 2001 - Mammalian Genome

Abstract:

Map Manager QTX (QTX) is software for analysis of genetic mapping experiments in experimental plants and animals. It includes functions for mapping both Mendelian and quantitative trait loci. QTX is an enhanced version of Map Manager QT, rewritten with the aid of cross-platform libraries (XVT, Boulder Software Foundry, Inc.),... Map Manager QTX (QTX) is software for analysis of genetic mapping experiments in experimental plants and animals. It includes functions for mapping both Mendelian and quantitative trait loci. QTX is an enhanced version of Map Manager QT, rewritten with the aid of cross-platform libraries (XVT, Boulder Software Foundry, Inc.), which allow it to be compiled for multiple computer platforms. It currently is distributed for Microsoft Windows and Mac OS and is available at http://mapmgr.roswellpark.org/mmQTX.html. read more read less
1,316 Citations
Journal Article DOI: 10.1007/S003359900551
Behavioral and functional analysis of mouse phenotype: SHIRPA, a proposed protocol for comprehensive phenotype assessment
01 Oct 1997 - Mammalian Genome

Abstract:

For an understanding of the aberrant biology seen in mouse mutations and identification of more subtle phenotype variation, there is a need for a full clinical and pathological characterization of the animals. Although there has been some use of sophisticated techniques, the majority of behavioral and functional analyses in m... For an understanding of the aberrant biology seen in mouse mutations and identification of more subtle phenotype variation, there is a need for a full clinical and pathological characterization of the animals. Although there has been some use of sophisticated techniques, the majority of behavioral and functional analyses in mice have been qualitative rather than quantitative in nature. There is, however, no comprehensive routine screening and testing protocol designed to identify and characterize phenotype variation or disorders associated with the mouse genome. We have developed the SHIRPA procedure to characterize the phenotype of mice in three stages. The primary screen utilizes standard methods to provide a behavioral and functional profile by observational assessment. The secondary screen involves a comprehensive behavioral assessment battery and pathological analysis. These protocols provide the framework for a general phenotype assessment that is suitable for a wide range of applications, including the characterization of spontaneous and induced mutants, the analysis of transgenic and gene-targeted phenotypes, and the definition of variation between strains. The tertiary screening stage described is tailored to the assessment of existing or potential models of neurological disease, as well as the assessment of phenotypic variability that may be the result of unknown genetic influences. SHIRPA utilizes standardized protocols for behavioral and functional assessment that provide a sensitive measure for quantifying phenotype expression in the mouse. These paradigms can be refined to test the function of specific neural pathways, which will, in turn, contribute to a greater understanding of neurological disorders. read more read less
862 Citations
Journal Article DOI: 10.1007/BF00389540
Maps from two interspecific backcross DNA panels available as a community genetic mapping resource
01 May 1994 - Mammalian Genome

Abstract:

We established two mouse interspecific backcross DNA panels, one containing 94 N2 animals from the cross (C57BL/6J × Mus spretus)F1 × C57BL/6J, and another from 94 N2 animals from the reciprocal backcross (C57BL/6J × SPRET/Ei)F1 × SPRET/Ei. We prepared large quantities of DNA from most tissues of each animal to create a commu... We established two mouse interspecific backcross DNA panels, one containing 94 N2 animals from the cross (C57BL/6J × Mus spretus)F1 × C57BL/6J, and another from 94 N2 animals from the reciprocal backcross (C57BL/6J × SPRET/Ei)F1 × SPRET/Ei. We prepared large quantities of DNA from most tissues of each animal to create a community resource of interspecific backcross DNA for use by laboratories interested in mapping loci in the mouse. Initial characterization of the genetic maps of both panels has been completed. We used MIT SSLP markers, proviral loci, and several other sequence-defined genes to anchor our maps to other published maps. The BSB panel map (from the backcross to C57BL/6J) contains 215 loci and is anchored by 45 SSLP and 32 gene sequence loci. The BSS panel map (from the backcross to SPRET/Ei) contains 451 loci and is anchored by 49 SSLP loci, 43 proviral loci, and 60 gene sequence loci. To obtain a high density of markers, we used motif-primed PCR to “fingerprint” the panel DNAs. We constructed two maps, each representing one of the two panels. All new loci can be located with a high degree of certainty on the maps at current marker density. Segregation patterns in these data reveal several examples of transmission ratio distortion and permit analysis of the distribution of crossovers on individual chromosomes. read more read less
601 Citations
Journal Article DOI: 10.1007/S003359900997
Overview of QTL mapping software and introduction to map manager QT.
Kenneth F. Manly1, Jane M. Olson2
01 Apr 1999 - Mammalian Genome

Abstract:

At least ten software packages are available for marker-based detection and localization of loci contributing to quantitative traits in experimental animals and plants. Many of these have unique strengths or situations in which they are particularly useful. Six were developed by or in collaboration with plant geneticists and ... At least ten software packages are available for marker-based detection and localization of loci contributing to quantitative traits in experimental animals and plants. Many of these have unique strengths or situations in which they are particularly useful. Six were developed by or in collaboration with plant geneticists and may not be well known to mammalian geneticists. These software packages are reviewed here and compared with a previously undescribed program, Map Manager QT, a Mac OS microcomputer program for mapping quantitative trait loci in populations derived from backcrosses, intercrosses, and recombinant inbred lines. Map Manager QT is an enhanced version of Map Manager Classic (Map Manager v2.6.5, Manly 1993), designed for mapping Mendelian loci. This review describes the methods Map Manager QT uses for mapping quantitative trait loci and describes other features that differ from those in Map Manager Classic. A complete description of both Map Manager Classic and Map Manager QT is available in the user manual, the on-line version of which can be found at http://mcbio.med.buffalo.edu/MMM/MMM.html. read more read less
500 Citations
open accessOpen access Journal Article DOI: 10.1007/S00335-012-9414-2
The Diversity Outbred Mouse Population
15 Aug 2012 - Mammalian Genome

Abstract:

The Diversity Outbred (DO) population is a heterogeneous stock derived from the same eight founder strains as the Collaborative Cross (CC) inbred strains. Genetically heterogeneous DO mice display a broad range of phenotypes. Natural levels of heterozygosity provide genetic buffering and, as a result, DO mice are robust and b... The Diversity Outbred (DO) population is a heterogeneous stock derived from the same eight founder strains as the Collaborative Cross (CC) inbred strains. Genetically heterogeneous DO mice display a broad range of phenotypes. Natural levels of heterozygosity provide genetic buffering and, as a result, DO mice are robust and breed well. Genetic mapping analysis in the DO presents new challenges and opportunities. Specialized algorithms are required to reconstruct haplotypes from high-density SNP array data. The eight founder haplotypes can be combined into 36 possible diplotypes, which must be accommodated in QTL mapping analysis. Population structure of the DO must be taken into account here. Estimated allele effects of eight founder haplotypes provide information that is not available in two-parent crosses and can dramatically reduce the number of candidate loci. Allele effects can also distinguish chance colocation of QTL from pleiotropy, which provides a basis for establishing causality in expression QTL studies. We recommended sample sizes of 200–800 mice for QTL mapping studies, larger than for traditional crosses. The CC inbred strains provide a resource for independent validation of DO mapping results. Genetic heterogeneity of the DO can provide a powerful advantage in our ability to generalize conclusions to other genetically diverse populations. Genetic diversity can also help to avoid the pitfall of identifying an idiosyncratic reaction that occurs only in a limited genetic context. Informatics tools and data resources associated with the CC, the DO, and their founder strains are developing rapidly. We anticipate a flood of new results to follow as our community begins to adopt and utilize these new genetic resource populations. read more read less
490 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for Mammalian Genome.

It automatically formats your research paper to Springer formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

Mammalian Genome format uses SPBASIC 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

1. Can I write Mammalian Genome in LaTeX?

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

2. Do you follow the Mammalian Genome guidelines?

Yes, the template is compliant with the Mammalian Genome 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 Mammalian Genome?

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 Mammalian Genome citation style.

4. Can I use the Mammalian Genome 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 Mammalian Genome.

5. Can I use a manuscript in Mammalian Genome 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 Mammalian Genome that you can download at the end.

6. How long does it usually take you to format my papers in Mammalian Genome?

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

7. Where can I find the template for the Mammalian Genome?

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 Mammalian Genome'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 Mammalian Genome'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. Mammalian Genome an online tool or is there a desktop version?

SciSpace's Mammalian Genome 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 Mammalian Genome?

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 Mammalian Genome?”

11. What is the output that I would get after using Mammalian Genome?

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

12. Is Mammalian Genome'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 Mammalian Genome?

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 Mammalian Genome. 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 Mammalian Genome?

The 5 most common citation types in order of usage for Mammalian Genome 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 Mammalian Genome?

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

16. Can I download Mammalian Genome 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 Mammalian Genome Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to Mammalian Genome formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

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.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template