Example of Magnetic Resonance in Medicine format
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Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format Example of Magnetic Resonance in Medicine format
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open access Open Access
recommended Recommended

Magnetic Resonance in Medicine — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Radiology, Nuclear Medicine and Imaging #28 of 288 down down by 7 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1974 Published Papers | 13953 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 05/07/2020
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Springer

Quality:  
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.635

6% from 2018

Impact factor for Magnetic Resonance in Medicine from 2016 - 2019
Year Value
2019 3.635
2018 3.858
2017 4.082
2016 3.924
graph view Graph view
table view Table view

7.1

4% from 2019

CiteRatio for Magnetic Resonance in Medicine from 2016 - 2020
Year Value
2020 7.1
2019 6.8
2018 6.9
2017 7.0
2016 6.8
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 4% 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.

1.696

3% from 2019

SJR for Magnetic Resonance in Medicine from 2016 - 2020
Year Value
2020 1.696
2019 1.751
2018 1.985
2017 1.89
2016 1.945
graph view Graph view
table view Table view

1.306

8% from 2019

SNIP for Magnetic Resonance in Medicine from 2016 - 2020
Year Value
2020 1.306
2019 1.417
2018 1.503
2017 1.445
2016 1.478
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 3% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 8% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Magnetic Resonance in Medicine

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Wiley

Magnetic Resonance in Medicine

Magnetic Resonance in Medicine is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports...... Read More

Medicine

i
Last updated on
05 Jul 2020
i
ISSN
0740-3194
i
Impact Factor
High - 1.421
i
Acceptance Rate
62%
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
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Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent con-version. Phys Rev B. 1982;25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.1002/MRM.1910340409
Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
Bharat B. Biswal1, F Z Yetkin1, Victor M. Haughton1, James S. Hyde1

Abstract:

An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time ... An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time courses of low frequency (< 0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal correlation (P < 10(-3)) within these regions and also with time courses in several other regions that can be associated with motor function. It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain. read more read less

Topics:

Resting state fMRI (67%)67% related to the paper, Amplitude of low frequency fluctuations (59%)59% related to the paper, Dynamic functional connectivity (58%)58% related to the paper, Default mode network (56%)56% related to the paper, Human brain (53%)53% related to the paper
8,766 Citations
open accessOpen access Journal Article DOI: 10.1002/MRM.21391
Sparse MRI: The application of compressed sensing for rapid MR imaging.
Michael Lustig1, David L. Donoho1, John M. Pauly1

Abstract:

The sparsity which is implicit in MR images is exploited to significantly undersample k -space. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial finite-differences or their wav... The sparsity which is implicit in MR images is exploited to significantly undersample k -space. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial finite-differences or their wavelet coefficients. According to the recently developed mathematical theory of compressedsensing, images with a sparse representation can be recovered from randomly undersampled k -space data, provided an appropriate nonlinear recovery scheme is used. Intuitively, artifacts due to random undersampling add as noise-like interference. In the sparse transform domain the significant coefficients stand out above the interference. A nonlinear thresholding scheme can recover the sparse coefficients, effectively recovering the image itself. In this article, practical incoherent undersampling schemes are developed and analyzed by means of their aliasing interference. Incoherence is introduced by pseudo-random variable-density undersampling of phase-encodes. The reconstruction is performed by minimizing the 1 norm of a transformed image, subject to data read more read less

Topics:

Sparse approximation (65%)65% related to the paper, Undersampling (58%)58% related to the paper, Compressed sensing (57%)57% related to the paper, Thresholding (54%)54% related to the paper, Aliasing (53%)53% related to the paper
View PDF
6,653 Citations
SENSE: Sensitivity Encoding for fast MRI
Klaas P. Pruessmann1, Markus Weiger1, Markus B. Scheidegger1, Peter Boesiger1

Abstract:

The invention relates to a method of parallel imaging for obtaining images by means of magnetic resonance (MR). The method includes the simultaneous measurement of sets of MR singals by an array of receiver coils, and the reconstruction of individual receiver coil images from the sets of MR signals. In order to reduce the acq... The invention relates to a method of parallel imaging for obtaining images by means of magnetic resonance (MR). The method includes the simultaneous measurement of sets of MR singals by an array of receiver coils, and the reconstruction of individual receiver coil images from the sets of MR signals. In order to reduce the acquisition time, the distance between adjacent phase encoding lines in k-space is increased, compared to standard Fourier imaging, by a non-integer factor smaller than the number of receiver coils. This undersampling gives rise to aliasing artifacts in the individual receiver coil images. An unaliased final image with the same field of view as in standard Fourier imaging is formed from a combination of the individual receiver coil images whereby account is taken of the mutually different spatial sensitivities of the receiver coils at the positions of voxels which in the receiver coil images become superimposed by aliasing. This requires the solution of a linear equation by means of the generalised inverse of a sensitivity matrix. The reduction of the number of phase encoding lines by a non-integer factor compared to standard Fourier imaging provides that different numbers of voxels become superimposed (by aliasing) in different regions of the receiver coil images. This effect can be exploited to shift residual aliasing artifacts outside the area of interest. read more read less

Topics:

Iterative reconstruction (53%)53% related to the paper, Electromagnetic coil (52%)52% related to the paper, Cardiac-Gated Imaging Techniques (51%)51% related to the paper, Undersampling (51%)51% related to the paper
View PDF
6,562 Citations
open accessOpen access Journal Article DOI: 10.1002/MRM.10171
Generalized autocalibrating partially parallel acquisitions (GRAPPA).

Abstract:

In this study, a novel partially parallel acquisition (PPA) method is presented which can be used to accelerate image acquisition using an RF coil array for spatial encoding. This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD-AUTO-SMASH reconstruction t... In this study, a novel partially parallel acquisition (PPA) method is presented which can be used to accelerate image acquisition using an RF coil array for spatial encoding. This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD-AUTO-SMASH reconstruction techniques. As in those previous methods, a detailed, highly accurate RF field map is not needed prior to reconstruction in GRAPPA. This information is obtained from several k-space lines which are acquired in addition to the normal image acquisition. As in PILS, the GRAPPA reconstruction algorithm provides unaliased images from each component coil prior to image combination. This results in even higher SNR and better image quality since the steps of image reconstruction and image combination are performed in separate steps. After introducing the GRAPPA technique, primary focus is given to issues related to the practical implementation of GRAPPA, including the reconstruction algorithm as well as analysis of SNR in the resulting images. Finally, in vivo GRAPPA images are shown which demonstrate the utility of the technique. read more read less

Topics:

Reconstruction algorithm (54%)54% related to the paper, Iterative reconstruction (53%)53% related to the paper, Image quality (52%)52% related to the paper
View PDF
5,022 Citations
Journal Article DOI: 10.1002/MRM.1910300604
Estimation of metabolite concentrations from localized in vivo proton NMR spectra
Stephen W. Provencher1

Abstract:

The LCModel method analyzes an in vivo spectrum as a Linear Combination of Model spectra of metabolite solutions in vitro By using complete model spectra, rather than just individual resonances, maximum information and uniqueness are incorporated into the analysis A constrained regularization method accounts for differences i... The LCModel method analyzes an in vivo spectrum as a Linear Combination of Model spectra of metabolite solutions in vitro By using complete model spectra, rather than just individual resonances, maximum information and uniqueness are incorporated into the analysis A constrained regularization method accounts for differences in phase, baseline, and lineshapes between the in vitro and in vivo spectra, and estimates the metabolite concentrations and their uncertainties LCModel is fully automatic in that the only input is the time-domain in vivo data The lack of subjective interaction should help the exchange and comparison of results More than 3000 human brain STEAM spectra from patients and healthy volunteers have been analyzed with LCModel N-acetylaspartate, cholines, creatines, myo-inositol, and glutamate can be reliably determined, and abnormal levels of these or elevated levels of lactate, alanine, scyllo-inositol, glutamine, or glucose clearly indicate numerous pathologies A computer program will be available read more read less
3,492 Citations
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Frequently asked questions

1. Can I write Magnetic Resonance in Medicine in LaTeX?

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

2. Do you follow the Magnetic Resonance in Medicine guidelines?

Yes, the template is compliant with the Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine?

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 Magnetic Resonance in Medicine citation style.

4. Can I use the Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine.

5. Can I use a manuscript in Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine that you can download at the end.

6. How long does it usually take you to format my papers in Magnetic Resonance in Medicine?

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

7. Where can I find the template for the Magnetic Resonance in Medicine?

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 Magnetic Resonance in Medicine'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 Magnetic Resonance in Medicine'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. Magnetic Resonance in Medicine an online tool or is there a desktop version?

SciSpace's Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine?

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 Magnetic Resonance in Medicine?”

11. What is the output that I would get after using Magnetic Resonance in Medicine?

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

12. Is Magnetic Resonance in Medicine'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 Magnetic Resonance in Medicine?

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 Magnetic Resonance in Medicine. 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 Magnetic Resonance in Medicine?

The 5 most common citation types in order of usage for Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine?

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

16. Can I download Magnetic Resonance in Medicine 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 Magnetic Resonance in Medicine 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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