Example of Journal of Neuroimaging format
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Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format
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Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format Example of Journal of Neuroimaging format
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open access Open Access

Journal of Neuroimaging — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Radiology, Nuclear Medicine and Imaging #106 of 288 down down by 43 ranks
Neurology (clinical) #167 of 343 down down by 43 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 375 Published Papers | 1367 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/06/2020
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Related Journals

open access Open Access

Springer

Quality:  
High
CiteRatio: 6.0
SJR: 1.239
SNIP: 1.096
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Quality:  
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Wiley

Quality:  
High
CiteRatio: 8.4
SJR: 2.005
SNIP: 1.476
open access Open Access

SAGE

Quality:  
Medium
CiteRatio: 2.4
SJR: 0.574
SNIP: 0.914

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.

2.321

12% from 2018

Impact factor for Journal of Neuroimaging from 2016 - 2019
Year Value
2019 2.321
2018 2.08
2017 1.953
2016 1.664
graph view Graph view
table view Table view

3.6

5% from 2019

CiteRatio for Journal of Neuroimaging from 2016 - 2020
Year Value
2020 3.6
2019 3.8
2018 4.4
2017 4.0
2016 3.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 12% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 5% 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.

0.822

5% from 2019

SJR for Journal of Neuroimaging from 2016 - 2020
Year Value
2020 0.822
2019 0.868
2018 0.88
2017 0.885
2016 0.723
graph view Graph view
table view Table view

0.945

6% from 2019

SNIP for Journal of Neuroimaging from 2016 - 2020
Year Value
2020 0.945
2019 1.0
2018 0.882
2017 0.932
2016 0.659
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • SNIP of this journal has decreased by 6% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Neuroimaging

Guideline source: View

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Wiley

Journal of Neuroimaging

The Journal of Neuroimaging (JON) publishes articles electronically on all neuroimaging modalities from scientists and healthcare providers in the field. JON emphasizes rapid communication of new neuroimaging findings with an open access publishing option. We generally prefer ...... Read More

Medicine

i
Last updated on
15 Jun 2020
i
ISSN
1051-2284
i
Impact Factor
High - 1.734
i
Acceptance Rate
Not provided
i
Frequency
Not provided
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
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (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: 10.1111/J.1552-6569.2004.TB00223.X
Neuroimaging in posterior reversible encephalopathy syndrome
01 Apr 2004 - Journal of Neuroimaging

Abstract:

The terms posterior reversible leukoencephalopathy, reversible posterior cerebral edema syndrome, and posterior reversible encephalopathy syndrome (PRES) all refer to a clinicoradiologic entity characterized by headaches, confusion, visual disturbances, seizures, and posterior transient changes on neuroimaging. Clinical findi... The terms posterior reversible leukoencephalopathy, reversible posterior cerebral edema syndrome, and posterior reversible encephalopathy syndrome (PRES) all refer to a clinicoradiologic entity characterized by headaches, confusion, visual disturbances, seizures, and posterior transient changes on neuroimaging. Clinical findings are not sufficiently specific to readily establish the diagnosis; in contrast, magnetic resonance imaging pattern is often characteristic and represents an essential component of the diagnosis of PRES. Typical lesions predominate in the posterior white matter, with some involvement of the overlying cortex; are hyperintense on T2-weighted images; and are usually hypointense or isointense on diffusion-weighted images, with an increase of the apparent diffusion coefficient, indicating vasogenic edema. The pathogenesis is incompletely understood, although it seems to be related to the breakthrough of autoregulation and endothelial dysfunction. Since its initial description, this syndrome has been subsequently described in an increasing number of medical conditions, including hypertensive encephalopathy, eclampsia, and the use of cytotoxic and immunosuppressive drugs. The diagnosis has important therapeutic and prognostic implications because the reversibility of the clinical and radiologic abnormalities is contingent on the prompt control of blood pressure and/or discontinuing the offending drug. On the contrary, when unrecognized, conversion to irreversible cytotoxic edema may occur. read more read less

Topics:

Posterior reversible encephalopathy syndrome (75%)75% related to the paper, Hypertensive encephalopathy (60%)60% related to the paper, Leukoencephalopathy (52%)52% related to the paper
366 Citations
Journal Article DOI: 10.1177/1051228405275074
Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making.
Michael Deppe1, Wolfram Schwindt1, Harald Kugel1, Hilke Plassmann1, Peter Kenning1
01 Apr 2005 - Journal of Neuroimaging

Abstract:

Background and purpose The authors used functional magnetic resonance imaging (fMRI) to investigate how individual economic decisions are influenced by implicit memory contributions. Methods Twenty-two participants were asked to make binary decisions between different brands of sensorily nearly undistinguishable consumer good... Background and purpose The authors used functional magnetic resonance imaging (fMRI) to investigate how individual economic decisions are influenced by implicit memory contributions. Methods Twenty-two participants were asked to make binary decisions between different brands of sensorily nearly undistinguishable consumer goods. Changes of brain activity comparing decisions in the presence or absence of a specific target brand were detected by fMRI. Results Only when the tar get brand was the participant's favorite one did the authors find reduced activation in the dorsolateral prefrontal, posterior parietal, and occipital cortices and the left premotor area (Brodmann areas [BA] 9, 46, 7/19, and 6). Simultaneously, activity was increased in the inferior precuneus and posterior cingulate (BA 7), right superior frontal gyrus (BA 10), right supramarginal gyrus (BA 40), and, most pronounced, in the ventromedial prefrontal cortex (BA 10). Conclusions For products mainly distinguishable by brand information, the authors revealed a nonlinear winner-take-all effect for a participant's favorite brand characterized, on one hand, by reduced activation in brain areas associated with working memory and reasoning and, on the other hand, increased activation in areas involved in processing of emotions and self-reflections during decision making. read more read less

Topics:

Consumer neuroscience (61%)61% related to the paper, Ventromedial prefrontal cortex (61%)61% related to the paper, Working memory (59%)59% related to the paper, Prefrontal cortex (59%)59% related to the paper, Precuneus (59%)59% related to the paper
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267 Citations
Journal Article DOI: 10.1111/JON19911268
High‐resolution B‐Mode Ultrasound Scanning Methods in the Atherosclerosis Risk in Communities Study (ARIC)
M G Bond1, Ralph W. Barnes1, Ward A. Riley, S. K. Wilmoth1, Lloyd E. Chambless2, George Howard1, B. Owens1
01 May 1991 - Journal of Neuroimaging

Abstract:

The Atherosclerosis Risk in Communities study examined popliteal and extracranial carotid arteries in approximately 16,000 randomly selected participants, aged 45 to 64 years. Vessels were studied noninvasively using high‐resolution B‐mode ultrasound imaging at baseline, to be repeated again after 3 years. The ultrasound exam... The Atherosclerosis Risk in Communities study examined popliteal and extracranial carotid arteries in approximately 16,000 randomly selected participants, aged 45 to 64 years. Vessels were studied noninvasively using high‐resolution B‐mode ultrasound imaging at baseline, to be repeated again after 3 years. The ultrasound examinations were performed according to a detailed standardized protocol by trained, certified sonographers subject to semiannual evaluation. Data on intrasonographer reliability from May 15, 1987, to June 30, 1989, showed that sonographers were able to visualize consistently a similar number of points along each of four arterial interfaces. Furthermore, the variability of measured combined intima‐medial thicknesses was low, with 80% or more of duplicate scans differing by less than 0.267 mm. The validity of B‐mode ultrasound imaging to detect asymptomatic carotid and popliteal artery atherosclerosis combined with high measurement reproducibility provides a powerful noninvasive scientific tool to test cross‐sectional and prospective hypotheses related to disease epidemiology. read more read less
266 Citations
Journal Article DOI: 10.1177/1051228405283363
Diffusion tensor magnetic resonance imaging in multiple sclerosis.
Daniel Goldberg-Zimring1, Andrea U. J. Mewes1, Mahnaz Maddah2, Simon K. Warfield1
01 Jan 2005 - Journal of Neuroimaging

Abstract:

Multiple sclerosis (MS), a demyelinating disease, occurs principally in the white matter (WM) of the central nervous system. Conventional magnetic resonance imaging (MRI) is sensitive to some, but not all, brain changes associated with MS. Diffusionweighted imaging (DWI) provides information about water diffusion in tissue an... Multiple sclerosis (MS), a demyelinating disease, occurs principally in the white matter (WM) of the central nervous system. Conventional magnetic resonance imaging (MRI) is sensitive to some, but not all, brain changes associated with MS. Diffusionweighted imaging (DWI) provides information about water diffusion in tissue and diffusion tensor MRI (DT-MRI) about fiber direction, allowing for the identification of WM abnormalities that are not apparent on conventional MRI images. These techniques can quantitatively characterize the local microstructure of tissues. MS-associated disease processes lead to regions characterized by an increased amount of water diffusion and a decrease in the anisotropy of diffusion direction. These changes have been found to produce different patterns in MS patients presenting different courses of the disease. Changes in water diffusion may allow examination of the type, appearance, enhancement, and location of lesions not readily visible by other means. Ongoing studies of MS are integrating conventional MRI and DT-MRI measures with connectivity-based regional assessment, aiming to provide a better understanding of the nature and the location of WM lesions. This integration and the development of novel image-processing and visualization techniques may improve the understanding of WM architecture and its disruption in MS. This article presents a brief history of DWI, its basic principles and applications in the study of MS, a review of the properties and applications of DT-MRI, and their use in the study of MS. In addition, this article illustrates the methodology for the analysis of DT-MRI in ongoing studies of MS. read more read less

Topics:

Diffusion MRI (60%)60% related to the paper, Tractography (59%)59% related to the paper, Magnetic resonance imaging (52%)52% related to the paper
223 Citations
Journal Article DOI: 10.1111/JON199114168
High-Resolution B-Mode Ultrasound Reading Methods in the Atherosclerosis Risk in Communities (ARIC) Cohort
Ward A. Riley1, Ralph W. Barnes1, M. Gene Bond1, Greg Evans1, Lloyd E. Chambless2, Gerardo Heiss2
01 Nov 1991 - Journal of Neuroimaging

Abstract:

To measure the association of cardiovascular disease risk factors with carotid artery diameter and thickness of the intima and media in the general population, standardized ultrasound scanning and reading protocols were performed on 15,800 individuals in the multicenter Atherosclerosis Risk in Communities (ARIC) Study. In a r... To measure the association of cardiovascular disease risk factors with carotid artery diameter and thickness of the intima and media in the general population, standardized ultrasound scanning and reading protocols were performed on 15,800 individuals in the multicenter Atherosclerosis Risk in Communities (ARIC) Study. In a randomly selected subset of 855 participants, the mean artery diameter, minimum lumen diameter, and maximum near‐and far‐wall thicknesses were measured at a core laboratory from B‐mode image recordings of the common carotid, bifurcation, and internal carotid arteries to determine both within‐reader and between‐reader variability. Measurements associated with the wall thickness are sensitive indicators of reader reproducibility, with between‐reader reliability coefficients ranging from 0. 78 to 0.93 and coefficients of variation ranging from 13.1 to 18.3%. The percent of paired readings in the three carotid segments for which the absolute difference of the far‐wall thickness measured by different readers was no greater than one image pixel (0.067 mm) was 58% (common carotid), 53% (internal carotid), and 42% (bifurcation). Highly reproducible measurements of carotid artery dimensions can be achieved with standardized training and performance of ultrasound scanning and reading protocols. read more read less

Topics:

Cohort (51%)51% related to the paper
211 Citations
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Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Neuroimaging guidelines and auto format it.

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Yes, the template is compliant with the Journal of Neuroimaging 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 Neuroimaging?

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 Neuroimaging citation style.

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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 Neuroimaging.

5. Can I use a manuscript in Journal of Neuroimaging that I have written in MS Word?

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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 Neuroimaging?

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 Neuroimaging. 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 Neuroimaging?

The 5 most common citation types in order of usage for Journal of Neuroimaging are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download Journal of Neuroimaging 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 Neuroimaging Endnote style according to Elsevier guidelines.

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