Example of Nature format
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Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format
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Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format Example of Nature format
Sample paper formatted on SciSpace - SciSpace
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open access Open Access
recommended Recommended

Nature — Template for authors

Publisher: Nature
Categories Rank Trend in last 3 yrs
Multidisciplinary #1 of 110 -
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 4773 Published Papers | 271357 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/07/2020
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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 2.3
SJR: 0.407
SNIP: 0.889
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 5.3
SJR: 0.99
SNIP: 1.349
open access Open Access

Inderscience Publishers

Quality:  
High
CiteRatio: 3.3
SJR: 0.44
SNIP: 1.047
open access Open Access
recommended Recommended

Nature

Quality:  
High
Impact factor: 4.379
CiteRatio: 7.1
SJR: 1.24
SNIP: 1.377

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.

42.778

1% from 2018

Impact factor for Nature from 2016 - 2019
Year Value
2019 42.778
2018 43.07
2017 41.577
2016 40.137
graph view Graph view
table view Table view

56.9

12% from 2019

CiteRatio for Nature from 2016 - 2020
Year Value
2020 56.9
2019 51.0
2018 55.7
2017 53.7
2016 49.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 12% 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.

15.993

14% from 2019

SJR for Nature from 2016 - 2020
Year Value
2020 15.993
2019 14.047
2018 16.345
2017 17.875
2016 18.389
graph view Graph view
table view Table view

9.249

5% from 2019

SNIP for Nature from 2016 - 2020
Year Value
2020 9.249
2019 8.82
2018 9.448
2017 8.647
2016 7.901
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • SNIP of this journal has increased by 5% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Nature

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Nature

Nature

Nature is a weekly international journal publishing the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature also pr...... Read More

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Last updated on
08 Jul 2020
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ISSN
Not provided
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Acceptance Rate
Not provided
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Frequency
Not provided
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Open Access
Not provided
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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
Naturemag Citation
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Citation Type
Numbered (Superscripted)
25
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Bibliography Example
Beenakker, C. W. J. Specular andreev reflection in graphene. Phys. Rev. Lett. 97, 067007 (2006). URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1038/227680A0
Cleavage of Structural Proteins during the Assembly of the Head of Bacteriophage T4
Ulrich K. Laemmli1
15 Aug 1970 - Nature

Abstract:

Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some ... Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some large intermediate structure. read more read less

Topics:

Bacteriophage T5 (61%)61% related to the paper, Head morphogenesis (59%)59% related to the paper, Gap junction assembly (57%)57% related to the paper, Viral Tail Proteins (56%)56% related to the paper, Bacteriophage phi 6 (56%)56% related to the paper
232,912 Citations
open accessOpen access Journal Article
Cleavage of structural proteins during the assemble of the head of bacterio-phage T4
01 Jan 1970 - Nature

Abstract:

Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some ... Using an improved method of gel electrophoresis, many hitherto unknown proteins have been found in bacteriophage T4 and some of these have been identified with specific gene products. Four major components of the head are cleaved during the process of assembly, apparently after the precursor proteins have assembled into some large intermediate structure. read more read less

Topics:

Cleavage (embryo) (57%)57% related to the paper
203,017 Citations
Journal Article DOI: 10.1038/NATURE14539
Deep learning
Yann LeCun1, Yann LeCun2, Yoshua Bengio3, Geoffrey E. Hinton4, Geoffrey E. Hinton5
28 May 2015 - Nature

Abstract:

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug di... Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. read more read less

Topics:

Deep learning (59%)59% related to the paper, Object detection (53%)53% related to the paper, Cognitive neuroscience of visual object recognition (51%)51% related to the paper, Abstraction (linguistics) (50%)50% related to the paper
46,982 Citations
Journal Article DOI: 10.1038/30918
Collective dynamics of small-world networks
Duncan J. Watts1, Steven H. Strogatz1
04 Jun 1998 - Nature

Abstract:

Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays, excitable media, neural networks, spatial games, genetic control networks and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random.... Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays, excitable media, neural networks, spatial games, genetic control networks and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly known as six degrees of separation. The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks. Models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. In particular, infectious diseases spread more easily in small-world networks than in regular lattices. read more read less

Topics:

Complex network (67%)67% related to the paper, Evolving networks (65%)65% related to the paper, Network motif (62%)62% related to the paper, Synchronization networks (61%)61% related to the paper, Barabási–Albert model (58%)58% related to the paper
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39,297 Citations
Journal Article DOI: 10.1038/354056A0
Helical microtubules of graphitic carbon
Sumio Iijima1
NEC1
01 Nov 1991 - Nature

Abstract:

THE synthesis of molecular carbon structures in the form of C60 and other fullerenes1 has stimulated intense interest in the structures accessible to graphitic carbon sheets. Here I report the preparation of a new type of finite carbon structure consisting of needle-like tubes. Produced using an arc-discharge evaporation meth... THE synthesis of molecular carbon structures in the form of C60 and other fullerenes1 has stimulated intense interest in the structures accessible to graphitic carbon sheets. Here I report the preparation of a new type of finite carbon structure consisting of needle-like tubes. Produced using an arc-discharge evaporation method similar to that used for fullerene synthesis, the needles grow at the negative end of the electrode used for the arc discharge. Electron microscopy reveals that each needle comprises coaxial tubes of graphitic sheets, ranging in number from 2 up to about 50. On each tube the carbon-atom hexagons are arranged in a helical fashion about the needle axis. The helical pitch varies from needle to needle and from tube to tube within a single needle. It appears that this helical structure may aid the growth process. The formation of these needles, ranging from a few to a few tens of nanometres in diameter, suggests that engineering of carbon structures should be possible on scales considerably greater than those relevant to the fullerenes. On 7 November 1991, Sumio Iijima announced in Nature the preparation of nanometre-size, needle-like tubes of carbon — now familiar as 'nanotubes'. Used in microelectronic circuitry and microscopy, and as a tool to test quantum mechanics and model biological systems, nanotubes seem to have unlimited potential. read more read less

Topics:

Single-Walled Nanotube (57%)57% related to the paper, Colossal carbon tube (56%)56% related to the paper, Carbon nanotube (56%)56% related to the paper, Mechanical properties of carbon nanotubes (56%)56% related to the paper, Carbon nanofiber (55%)55% related to the paper
39,086 Citations
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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

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

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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

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

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Nature format uses Naturemag Citation 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 Nature in LaTeX?

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

2. Do you follow the Nature guidelines?

Yes, the template is compliant with the Nature 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 Nature?

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 Nature citation style.

4. Can I use the Nature 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 Nature.

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

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

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

7. Where can I find the template for the Nature?

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

SciSpace's Nature 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 Nature?

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 Nature?”

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

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

12. Is Nature'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 Nature?

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 Nature. 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 Nature?

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

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

16. Can I download Nature 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 Nature 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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