Example of Journal of the Royal Society Interface format
Recent searches

Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface 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 Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface format Example of Journal of the Royal Society Interface 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

Journal of the Royal Society Interface — Template for authors

Publisher: The Royal Society
Categories Rank Trend in last 3 yrs
Biophysics #17 of 131 down down by 3 ranks
Biotechnology #61 of 282 down down by 30 ranks
Biomedical Engineering #52 of 229 down down by 22 ranks
Biochemistry #103 of 415 down down by 32 ranks
Biomaterials #30 of 106 down down by 17 ranks
Bioengineering #44 of 148 down down by 17 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1119 Published Papers | 7369 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 07/07/2020
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

The Royal Society

Quality:  
High
CiteRatio: 7.3
SJR: 1.1
SNIP: 1.222
open access Open Access
recommended Recommended

IOP Publishing

Quality:  
High
CiteRatio: 13.9
SJR: 2.328
SNIP: 1.621
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 14.0
SJR: 1.944
SNIP: 1.781
open access Open Access
recommended Recommended

Royal Society of Chemistry

Quality:  
High
CiteRatio: 11.2
SJR: 2.064
SNIP: 1.675

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.

3.748

16% from 2018

Impact factor for Journal of the Royal Society Interface from 2016 - 2019
Year Value
2019 3.748
2018 3.224
2017 3.355
2016 3.579
graph view Graph view
table view Table view

6.6

16% from 2019

CiteRatio for Journal of the Royal Society Interface from 2016 - 2020
Year Value
2020 6.6
2019 5.7
2018 6.4
2017 7.4
2016 7.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 16% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 16% 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.

1.655

2% from 2019

SJR for Journal of the Royal Society Interface from 2016 - 2020
Year Value
2020 1.655
2019 1.694
2018 1.627
2017 1.723
2016 1.764
graph view Graph view
table view Table view

1.709

21% from 2019

SNIP for Journal of the Royal Society Interface from 2016 - 2020
Year Value
2020 1.709
2019 1.411
2018 1.358
2017 1.472
2016 1.451
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 2% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 21% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of the Royal Society Interface

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

The Royal Society

Journal of the Royal Society Interface

Journal of the Royal Society Interface is the Societys cross-disciplinary publication promoting research at the interface between the physical and life sciences. It offers rapidity, visibility and high-quality peer review and is ranked sixth in JCR multidisciplinary category. ...... Read More

Biophysics

Biotechnology

Biomedical Engineering

Bioengineering

Biochemistry

Biomaterials

Biochemistry, Genetics and Molecular Biology

i
Last updated on
06 Jul 2020
i
ISSN
1742-5689
i
Impact Factor
High - 1.836
i
Acceptance Rate
25%
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
Vancouver
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting micro- constrictions: Excess current, charge imbalance, and su- percurrent conversion. Phys Rev B. 1982;25(7):4515– 4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1098/RSIF.2005.0073
Hyperelastic modelling of arterial layers with distributed collagen fibre orientations
T. Christian Gasser1, Ray W. Ogden2, Gerhard Holzapfel3, Gerhard Holzapfel1

Abstract:

Constitutive relations are fundamental to the solution of problems in continuum mechanics, and are required in the study of, for example, mechanically dominated clinical interventions involving soft biological tissues. Structural continuum constitutive models of arterial layers integrate information about the tissue morpholog... Constitutive relations are fundamental to the solution of problems in continuum mechanics, and are required in the study of, for example, mechanically dominated clinical interventions involving soft biological tissues. Structural continuum constitutive models of arterial layers integrate information about the tissue morphology and therefore allow investigation of the interrelation between structure and function in response to mechanical loading. Collagen fibres are key ingredients in the structure of arteries. In the media (the middle layer of the artery wall) they are arranged in two helically distributed families with a small pitch and very little dispersion in their orientation (i.e. they are aligned quite close to the circumferential direction). By contrast, in the adventitial and intimal layers, the orientation of the collagen fibres is dispersed, as shown by polarized light microscopy of stained arterial tissue. As a result, continuum models that do not account for the dispersion are not able to capture accurately the stress–strain response of these layers. The purpose of this paper, therefore, is to develop a structural continuum framework that is able to represent the dispersion of the collagen fibre orientation. This then allows the development of a new hyperelastic free-energy function that is particularly suited for representing the anisotropic elastic properties of adventitial and intimal layers of arterial walls, and is a generalization of the fibre-reinforced structural model introduced by Holzapfel & Gasser (Holzapfel & Gasser 2001 Comput. Meth. Appl. Mech. Eng. 190, 4379–4403) and Holzapfel et al. (Holzapfel et al. 2000 J. Elast. 61, 1–48). The model incorporates an additional scalar structure parameter that characterizes the dispersed collagen orientation. An efficient finite element implementation of the model is then presented and numerical examples show that the dispersion of the orientation of collagen fibres in the adventitia of human iliac arteries has a significant effect on their mechanical response. read more read less
View PDF
1,905 Citations
open accessOpen access Journal Article DOI: 10.1098/RSIF.2005.0051
Networks and epidemic models.
Matthew James Keeling1, Ken T. D. Eames

Abstract:

Networks and the epidemiology of directly transmitted infectious diseases are fundamentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all suc... Networks and the epidemiology of directly transmitted infectious diseases are fundamentally linked. The foundations of epidemiology and early epidemiological models were based on population wide random-mixing, but in practice each individual has a finite set of contacts to whom they can pass infection; the ensemble of all such contacts forms a ‘mixing network’. Knowledge of the structure of the network allows models to compute the epidemic dynamics at the population scale from the individual-level behaviour of infections. Therefore, characteristics of mixing networks—and how these deviate from the random-mixing norm—have become important applied concerns that may enhance the understanding and prediction of epidemic patterns and intervention measures. Here, we review the basis of epidemiological theory (based on random-mixing models) and network theory (based on work from the social sciences and graph theory). We then describe a variety of methods that allow the mixing network, or an approximation to the network, to be ascertained. It is often the case that time and resources limit our ability to accurately find all connections within a network, and hence a generic understanding of the relationship between network structure and disease dynamics is needed. Therefore, we review some of the variety of idealized network types and approximation techniques that have been utilized to elucidate this link. Finally, we look to the future to suggest how the two fields of network theory and epidemiological modelling can deliver an improved understanding of disease dynamics and better public health through effective disease control. read more read less

Topics:

Network theory (57%)57% related to the paper, Scale-free network (55%)55% related to the paper, Small-world network (53%)53% related to the paper, Population (53%)53% related to the paper
View PDF
1,737 Citations
open accessOpen access Journal Article DOI: 10.1098/RSIF.2008.0172
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni1, David Welch1, Natalja Strelkowa1, Andreas Ipsen1, Michael P. H. Stumpf1

Abstract:

Approximate Bayesian computation (ABC) methods can be used to evaluate posterior distributions without having to calculate likelihoods. In this paper, we discuss and apply an ABC method based on sequential Monte Carlo (SMC) to estimate parameters of dynamical models. We show that ABC SMC provides information about the inferab... Approximate Bayesian computation (ABC) methods can be used to evaluate posterior distributions without having to calculate likelihoods. In this paper, we discuss and apply an ABC method based on sequential Monte Carlo (SMC) to estimate parameters of dynamical models. We show that ABC SMC provides information about the inferability of parameters and model sensitivity to changes in parameters, and tends to perform better than other ABC approaches. The algorithm is applied to several well-known biological systems, for which parameters and their credible intervals are inferred. Moreover, we develop ABC SMC as a tool for model selection; given a range of different mathematical descriptions, ABC SMC is able to choose the best model using the standard Bayesian model selection apparatus. read more read less

Topics:

Approximate Bayesian computation (56%)56% related to the paper, Model selection (56%)56% related to the paper, Bayesian inference (55%)55% related to the paper, Particle filter (53%)53% related to the paper, Dynamical systems theory (51%)51% related to the paper
View PDF
1,540 Citations
open accessOpen access Journal Article DOI: 10.1098/RSIF.2017.0387
Opportunities and obstacles for deep learning in biology and medicine.

Abstract:

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood. H... Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood. Hence, deep learning techniques may be particularly well suited to solve problems of these fields. We examine applications of deep learning to a variety of biomedical problems-patient classification, fundamental biological processes and treatment of patients-and discuss whether deep learning will be able to transform these tasks or if the biomedical sphere poses unique challenges. Following from an extensive literature review, we find that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art. Even though improvements over previous baselines have been modest in general, the recent progress indicates that deep learning methods will provide valuable means for speeding up or aiding human investigation. Though progress has been made linking a specific neural network's prediction to input features, understanding how users should interpret these models to make testable hypotheses about the system under study remains an open challenge. Furthermore, the limited amount of labelled data for training presents problems in some domains, as do legal and privacy constraints on work with sensitive health records. Nonetheless, we foresee deep learning enabling changes at both bench and bedside with the potential to transform several areas of biology and medicine. read more read less

Topics:

Deep learning (52%)52% related to the paper
View PDF
1,491 Citations
open accessOpen access Journal Article DOI: 10.1098/RSIF.2009.0386
The construction of next-generation matrices for compartmental epidemic models.
Odo Diekmann1, J.A.P. Heesterbeek1, Mick G. Roberts2

Abstract:

The basic reproduction number ℛ0 is arguably the most important quantity in infectious disease epidemiology. The next-generation matrix (NGM) is the natural basis for the definition and calculation... The basic reproduction number ℛ0 is arguably the most important quantity in infectious disease epidemiology. The next-generation matrix (NGM) is the natural basis for the definition and calculation... read more read less

Topics:

Next-generation matrix (56%)56% related to the paper, Basic reproduction number (56%)56% related to the paper
View PDF
1,485 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
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

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 Journal of the Royal Society Interface.

It automatically formats your research paper to The Royal Society 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

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?

Turnitin Stats
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

Journal of the Royal Society Interface format uses Vancouver 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 Journal of the Royal Society Interface in LaTeX?

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

2. Do you follow the Journal of the Royal Society Interface guidelines?

Yes, the template is compliant with the Journal of the Royal Society Interface 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 Journal of the Royal Society Interface?

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 Journal of the Royal Society Interface citation style.

4. Can I use the Journal of the Royal Society Interface 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 Journal of the Royal Society Interface.

5. Can I use a manuscript in Journal of the Royal Society Interface 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 Journal of the Royal Society Interface that you can download at the end.

6. How long does it usually take you to format my papers in Journal of the Royal Society Interface?

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

7. Where can I find the template for the Journal of the Royal Society Interface?

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 Journal of the Royal Society Interface'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 Journal of the Royal Society Interface'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. Journal of the Royal Society Interface an online tool or is there a desktop version?

SciSpace's Journal of the Royal Society Interface 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 Journal of the Royal Society Interface?

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 Journal of the Royal Society Interface?”

11. What is the output that I would get after using Journal of the Royal Society Interface?

After writing your paper autoformatting in Journal of the Royal Society Interface, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of the Royal Society Interface'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 Journal of the Royal Society Interface?

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 Journal of the Royal Society Interface. 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 Journal of the Royal Society Interface?

The 5 most common citation types in order of usage for Journal of the Royal Society Interface 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 Journal of the Royal Society Interface?

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

16. Can I download Journal of the Royal Society Interface 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 Journal of the Royal Society Interface 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 Journal of the Royal Society Interface 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