Example of BioMedical Engineering OnLine format
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Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format Example of BioMedical Engineering OnLine format
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open access Open Access

BioMedical Engineering OnLine — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Radiology, Nuclear Medicine and Imaging #52 of 288 up up by 27 ranks
Radiological and Ultrasound Technology #13 of 51 up up by 2 ranks
Biomedical Engineering #77 of 229 down down by 2 ranks
Biomaterials #39 of 106 -
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 531 Published Papers | 2718 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/07/2020
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Related Journals

open access Open Access
recommended Recommended

SAGE

Quality:  
High
CiteRatio: 8.8
SJR: 1.436
SNIP: 1.725
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SPIE

Quality:  
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CiteRatio: 6.0
SJR: 0.92
SNIP: 1.179
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Quality:  
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CiteRatio: 6.6
SJR: 1.655
SNIP: 1.709

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.

2.059

2% from 2018

Impact factor for BioMedical Engineering OnLine from 2016 - 2019
Year Value
2019 2.059
2018 2.013
2017 1.676
2016 1.683
graph view Graph view
table view Table view

5.1

28% from 2019

CiteRatio for BioMedical Engineering OnLine from 2016 - 2020
Year Value
2020 5.1
2019 4.0
2018 3.5
2017 3.6
2016 3.4
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased 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 28% 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.

0.6

4% from 2019

SJR for BioMedical Engineering OnLine from 2016 - 2020
Year Value
2020 0.6
2019 0.578
2018 0.595
2017 0.542
2016 0.572
graph view Graph view
table view Table view

1.254

7% from 2019

SNIP for BioMedical Engineering OnLine from 2016 - 2020
Year Value
2020 1.254
2019 1.167
2018 1.132
2017 1.027
2016 1.165
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 4% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 7% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

BioMedical Engineering OnLine

Guideline source: View

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Springer

BioMedical Engineering OnLine

BioMedical Engineering OnLine is aimed at readers and authors throughout the world with an interest in using tools of the physical sciences to advance and understand problems in the biological and medical sciences. There are biomedical engineers in countries throughout the wor...... Read More

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Last updated on
03 Jul 2020
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ISSN
1475-925X
i
Impact Factor
High - 1.683
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Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Citation Type
Author Year
(Blonder et al, 1982)
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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

open accessOpen access Journal Article DOI: 10.1186/1475-925X-2-13
ScanImage: Flexible software for operating laser scanning microscopes

Abstract:

Background: Laser scanning microscopy is a powerful tool for analyzing the structure and function of biological specimens. Although numerous commercial laser scanning microscopes exist, some of the more interesting and challenging applications demand custom design. A major impediment to custom design is the difficulty of buil... Background: Laser scanning microscopy is a powerful tool for analyzing the structure and function of biological specimens. Although numerous commercial laser scanning microscopes exist, some of the more interesting and challenging applications demand custom design. A major impediment to custom design is the difficulty of building custom data acquisition hardware and writing the complex software required to run the laser scanning microscope. Results: We describe a simple, software-based approach to operating a laser scanning microscope without the need for custom data acquisition hardware. Data acquisition and control of laser scanning are achieved through standard data acquisition boards. The entire burden of signal integration and image processing is placed on the CPU of the computer. We quantitate the effectiveness of our data acquisition and signal conditioning algorithm under a variety of conditions. We implement our approach in an open source software package (ScanImage) and describe its functionality. Conclusions: We present ScanImage, software to run a flexible laser scanning microscope that allows easy custom design. read more read less

Topics:

Laser scanning (61%)61% related to the paper, Data acquisition (56%)56% related to the paper, Software design (54%)54% related to the paper, Microscope (54%)54% related to the paper, Software (53%)53% related to the paper
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1,223 Citations
open accessOpen access Journal Article DOI: 10.1186/1475-925X-10-24
How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX.
Maged N. Kamel Boulos1, Steve Wheeler1, Carlos M Tavares, Ray Jones1

Abstract:

The latest generation of smartphones are increasingly viewed as handheld computers rather than as phones, due to their powerful on-board computing capability, capacious memories, large screens and open operating systems that encourage application development. This paper provides a brief state-of-the-art overview of health and... The latest generation of smartphones are increasingly viewed as handheld computers rather than as phones, due to their powerful on-board computing capability, capacious memories, large screens and open operating systems that encourage application development. This paper provides a brief state-of-the-art overview of health and healthcare smartphone apps (applications) on the market today, including emerging trends and market uptake. Platforms available today include Android, Apple iOS, RIM BlackBerry, Symbian, and Windows (Windows Mobile 6.x and the emerging Windows Phone 7 platform). The paper covers apps targeting both laypersons/patients and healthcare professionals in various scenarios, e.g., health, fitness and lifestyle education and management apps; ambient assisted living apps; continuing professional education tools; and apps for public health surveillance. Among the surveyed apps are those assisting in chronic disease management, whether as standalone apps or part of a BAN (Body Area Network) and remote server configuration. We describe in detail the development of a smartphone app within eCAALYX (Enhanced Complete Ambient Assisted Living Experiment, 2009-2012), an EU-funded project for older people with multiple chronic conditions. The eCAALYX Android smartphone app receives input from a BAN (a patient-wearable smart garment with wireless health sensors) and the GPS (Global Positioning System) location sensor in the smartphone, and communicates over the Internet with a remote server accessible by healthcare professionals who are in charge of the remote monitoring and management of the older patient with multiple chronic conditions. Finally, we briefly discuss barriers to adoption of health and healthcare smartphone apps (e.g., cost, network bandwidth and battery power efficiency, usability, privacy issues, etc.), as well as some workarounds to mitigate those barriers. read more read less

Topics:

Mobile device (57%)57% related to the paper, Android (operating system) (54%)54% related to the paper
View PDF
1,043 Citations
open accessOpen access Journal Article DOI: 10.1186/1475-925X-9-45
OpenMEEG: opensource software for quasistatic bioelectromagnetics
Alexandre Gramfort1, Théodore Papadopoulo1, Emmanuel Olivi1, Maureen Clerc1

Abstract:

Interpreting and controlling bioelectromagnetic phenomena require realistic physiological models and accurate numerical solvers. A semi-realistic model often used in practise is the piecewise constant conductivity model, for which only the interfaces have to be meshed. This simplified model makes it possible to use Boundary E... Interpreting and controlling bioelectromagnetic phenomena require realistic physiological models and accurate numerical solvers. A semi-realistic model often used in practise is the piecewise constant conductivity model, for which only the interfaces have to be meshed. This simplified model makes it possible to use Boundary Element Methods. Unfortunately, most Boundary Element solutions are confronted with accuracy issues when the conductivity ratio between neighboring tissues is high, as for instance the scalp/skull conductivity ratio in electro-encephalography. To overcome this difficulty, we proposed a new method called the symmetric BEM, which is implemented in the OpenMEEG software. The aim of this paper is to present OpenMEEG, both from the theoretical and the practical point of view, and to compare its performances with other competing software packages. We have run a benchmark study in the field of electro- and magneto-encephalography, in order to compare the accuracy of OpenMEEG with other freely distributed forward solvers. We considered spherical models, for which analytical solutions exist, and we designed randomized meshes to assess the variability of the accuracy. Two measures were used to characterize the accuracy. the Relative Difference Measure and the Magnitude ratio. The comparisons were run, either with a constant number of mesh nodes, or a constant number of unknowns across methods. Computing times were also compared. We observed more pronounced differences in accuracy in electroencephalography than in magnetoencephalography. The methods could be classified in three categories: the linear collocation methods, that run very fast but with low accuracy, the linear collocation methods with isolated skull approach for which the accuracy is improved, and OpenMEEG that clearly outperforms the others. As far as speed is concerned, OpenMEEG is on par with the other methods for a constant number of unknowns, and is hence faster for a prescribed accuracy level. This study clearly shows that OpenMEEG represents the state of the art for forward computations. Moreover, our software development strategies have made it handy to use and to integrate with other packages. The bioelectromagnetic research community should therefore be able to benefit from OpenMEEG with a limited development effort. read more read less

Topics:

Collocation (51%)51% related to the paper, Constant (mathematics) (50%)50% related to the paper, Piecewise (50%)50% related to the paper
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914 Citations
open accessOpen access Journal Article DOI: 10.1186/S12938-016-0236-4
3D-printing techniques in a medical setting: a systematic literature review
Philip Tack1, Jan Victor2, Paul Gemmel1, Lieven Annemans1

Abstract:

Three-dimensional (3D) printing has numerous applications and has gained much interest in the medical world. The constantly improving quality of 3D-printing applications has contributed to their increased use on patients. This paper summarizes the literature on surgical 3D-printing applications used on patients, with a focus ... Three-dimensional (3D) printing has numerous applications and has gained much interest in the medical world. The constantly improving quality of 3D-printing applications has contributed to their increased use on patients. This paper summarizes the literature on surgical 3D-printing applications used on patients, with a focus on reported clinical and economic outcomes. Three major literature databases were screened for case series (more than three cases described in the same study) and trials of surgical applications of 3D printing in humans. 227 surgical papers were analyzed and summarized using an evidence table. The papers described the use of 3D printing for surgical guides, anatomical models, and custom implants. 3D printing is used in multiple surgical domains, such as orthopedics, maxillofacial surgery, cranial surgery, and spinal surgery. In general, the advantages of 3D-printed parts are said to include reduced surgical time, improved medical outcome, and decreased radiation exposure. The costs of printing and additional scans generally increase the overall cost of the procedure. 3D printing is well integrated in surgical practice and research. Applications vary from anatomical models mainly intended for surgical planning to surgical guides and implants. Our research suggests that there are several advantages to 3D-printed applications, but that further research is needed to determine whether the increased intervention costs can be balanced with the observable advantages of this new technology. There is a need for a formal cost–effectiveness analysis. read more read less

Topics:

Surgical planning (55%)55% related to the paper
View PDF
698 Citations
open accessOpen access Journal Article DOI: 10.1186/1475-925X-6-23
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
Max A. Little1, Patrick E. McSharry1, Stephen J. Roberts1, Declan A. E. Costello, Irene M. Moroz1

Abstract:

Voice disorders affect patients profoundly, and acoustic tools can potentially measure voice function objectively. Disordered sustained vowels exhibit wide-ranging phenomena, from nearly periodic to highly complex, aperiodic vibrations, and increased "breathiness". Modelling and surrogate data studies have shown significant n... Voice disorders affect patients profoundly, and acoustic tools can potentially measure voice function objectively. Disordered sustained vowels exhibit wide-ranging phenomena, from nearly periodic to highly complex, aperiodic vibrations, and increased "breathiness". Modelling and surrogate data studies have shown significant nonlinear and non-Gaussian random properties in these sounds. Nonetheless, existing tools are limited to analysing voices displaying near periodicity, and do not account for this inherent biophysical nonlinearity and non-Gaussian randomness, often using linear signal processing methods insensitive to these properties. They do not directly measure the two main biophysical symptoms of disorder: complex nonlinear aperiodicity, and turbulent, aeroacoustic, non-Gaussian randomness. Often these tools cannot be applied to more severe disordered voices, limiting their clinical usefulness. This paper introduces two new tools to speech analysis: recurrence and fractal scaling, which overcome the range limitations of existing tools by addressing directly these two symptoms of disorder, together reproducing a "hoarseness" diagram. A simple bootstrapped classifier then uses these two features to distinguish normal from disordered voices. On a large database of subjects with a wide variety of voice disorders, these new techniques can distinguish normal from disordered cases, using quadratic discriminant analysis, to overall correct classification performance of 91.8 ± 2.0%. The true positive classification performance is 95.4 ± 3.2%, and the true negative performance is 91.5 ± 2.3% (95% confidence). This is shown to outperform all combinations of the most popular classical tools. Given the very large number of arbitrary parameters and computational complexity of existing techniques, these new techniques are far simpler and yet achieve clinically useful classification performance using only a basic classification technique. They do so by exploiting the inherent nonlinearity and turbulent randomness in disordered voice signals. They are widely applicable to the whole range of disordered voice phenomena by design. These new measures could therefore be used for a variety of practical clinical purposes. read more read less

Topics:

Randomness (51%)51% related to the paper
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637 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.

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Frequently asked questions

1. Can I write BioMedical Engineering OnLine in LaTeX?

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

2. Do you follow the BioMedical Engineering OnLine guidelines?

Yes, the template is compliant with the BioMedical Engineering OnLine 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 BioMedical Engineering OnLine?

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 BioMedical Engineering OnLine citation style.

4. Can I use the BioMedical Engineering OnLine 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 BioMedical Engineering OnLine.

5. Can I use a manuscript in BioMedical Engineering OnLine 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 BioMedical Engineering OnLine that you can download at the end.

6. How long does it usually take you to format my papers in BioMedical Engineering OnLine?

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

7. Where can I find the template for the BioMedical Engineering OnLine?

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 BioMedical Engineering OnLine'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 BioMedical Engineering OnLine'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. BioMedical Engineering OnLine an online tool or is there a desktop version?

SciSpace's BioMedical Engineering OnLine 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 BioMedical Engineering OnLine?

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 BioMedical Engineering OnLine?”

11. What is the output that I would get after using BioMedical Engineering OnLine?

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

12. Is BioMedical Engineering OnLine'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 BioMedical Engineering OnLine?

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 BioMedical Engineering OnLine. 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 BioMedical Engineering OnLine?

The 5 most common citation types in order of usage for BioMedical Engineering OnLine 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 BioMedical Engineering OnLine?

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

16. Can I download BioMedical Engineering OnLine 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 BioMedical Engineering OnLine 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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