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Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format Example of BMC Neurology format
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open access Open Access

BMC Neurology — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Neurology (clinical) #183 of 343 down down by 55 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 1220 Published Papers | 3897 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 18/06/2020
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Insights
General info
Top papers
Popular templates
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FAQ

Related Journals

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Quality:  
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CiteRatio: 6.4
SJR: 1.187
SNIP: 1.192
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CiteRatio: 7.3
SJR: 1.684
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Quality:  
High
CiteRatio: 6.8
SJR: 1.651
SNIP: 1.671

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.

2.356

6% from 2018

Impact factor for BMC Neurology from 2016 - 2019
Year Value
2019 2.356
2018 2.233
2017 2.17
2016 2.006
graph view Graph view
table view Table view

3.2

9% from 2019

CiteRatio for BMC Neurology from 2016 - 2020
Year Value
2020 3.2
2019 3.5
2018 3.8
2017 4.0
2016 3.7
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • CiteRatio of this journal has decreased by 9% 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.

0.859

9% from 2019

SJR for BMC Neurology from 2016 - 2020
Year Value
2020 0.859
2019 0.947
2018 1.078
2017 1.006
2016 1.093
graph view Graph view
table view Table view

1.053

7% from 2019

SNIP for BMC Neurology from 2016 - 2020
Year Value
2020 1.053
2019 1.136
2018 1.019
2017 1.03
2016 0.952
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 9% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

BMC Neurology

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Springer

BMC Neurology

Approved by publishing and review experts on SciSpace, this template is built as per for BMC Neurology formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 792 authors to write and format their manuscripts to this journal.

i
Last updated on
17 Jun 2020
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ISSN
1606-8610
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Open Access
Yes
i
Sherpa RoMEO Archiving Policy
White faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder, G.E., Tinkham, M., Klapwijk, T.M.: Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 25(7), 4515–4532 (1982)

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1186/1471-2377-9-35
Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment
21 Jul 2009 - BMC Neurology

Abstract:

Background: Previously published studies have reported that up to 43% of patients with disorders of consciousness are erroneously assigned a diagnosis of vegetative state (VS). However, no recent studies have investigated the accuracy of this grave clinical diagnosis. In this study, we compared consensus-based diagnoses of VS... Background: Previously published studies have reported that up to 43% of patients with disorders of consciousness are erroneously assigned a diagnosis of vegetative state (VS). However, no recent studies have investigated the accuracy of this grave clinical diagnosis. In this study, we compared consensus-based diagnoses of VS and MCS to those based on a well-established standardized neurobehavioral rating scale, the JFK Coma Recovery Scale-Revised (CRS-R). Methods: We prospectively followed 103 patients (55 ± 19 years) with mixed etiologies and compared the clinical consensus diagnosis provided by the physician on the basis of the medical staff's daily observations to diagnoses derived from CRS-R assessments performed by research staff. All patients were assigned a diagnosis of 'VS', 'MCS' or 'uncertain diagnosis.' Results: Of the 44 patients diagnosed with VS based on the clinical consensus of the medical team, 18 (41%) were found to be in MCS following standardized assessment with the CRS-R. In the 41 patients with a consensus diagnosis of MCS, 4 (10%) had emerged from MCS, according to the CRSR. We also found that the majority of patients assigned an uncertain diagnosis by clinical consensus (89%) were in MCS based on CRS-R findings. Conclusion: Despite the importance of diagnostic accuracy, the rate of misdiagnosis of VS has not substantially changed in the past 15 years. Standardized neurobehavioral assessment is a more sensitive means of establishing differential diagnosis in patients with disorders of consciousness when compared to diagnoses determined by clinical consensus. read more read less

Topics:

Minimally conscious state (54%)54% related to the paper, Medical diagnosis (53%)53% related to the paper
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1,015 Citations
open accessOpen access Journal Article DOI: 10.1186/1471-2377-11-110
Post-stroke infection: a systematic review and meta-analysis
20 Sep 2011 - BMC Neurology

Abstract:

stroke is the main cause of disability in high-income countries, and ranks second as a cause of death worldwide. Patients with acute stroke are at risk for infections, but reported post-stroke infection rates vary considerably. We performed a systematic review and meta-analysis to estimate the pooled post-stroke infection rat... stroke is the main cause of disability in high-income countries, and ranks second as a cause of death worldwide. Patients with acute stroke are at risk for infections, but reported post-stroke infection rates vary considerably. We performed a systematic review and meta-analysis to estimate the pooled post-stroke infection rate and its effect on outcome. MEDLINE and EMBASE were searched for studies on post-stroke infection. Cohort studies and randomized clinical trials were included when post-stroke infection rate was reported. Rates of infection were pooled after assessment of heterogeneity. Associations between population- and study characteristics and infection rates were quantified. Finally, we reviewed the association between infection and outcome. 87 studies were included involving 137817 patients. 8 studies were restricted to patients admitted on the intensive care unit (ICU). There was significant heterogeneity between studies (P < 0.001, I2 = 97%). The overall pooled infection rate was 30% (24-36%); rates of pneumonia and urinary tract infection were 10% (95% confidence interval [CI] 9-10%) and 10% (95%CI 9-12%). For ICU studies, these rates were substantially higher with 45% (95% CI 38-52%), 28% (95%CI 18-38%) and 20% (95%CI 0-40%). Rates of pneumonia were higher in studies that specifically evaluated infections and in consecutive studies. Studies including older patients or more females reported higher rates of urinary tract infection. Pneumonia was significantly associated with death (odds ratio 3.62 (95%CI 2.80-4.68). Infection complicated acute stroke in 30% of patients. Rates of pneumonia and urinary tract infection after stroke were 10%. Pneumonia was associated with death. Our study stresses the need to prevent infections in patients with stroke. read more read less

Topics:

Stroke (53%)53% related to the paper, Pneumonia (53%)53% related to the paper, Cause of death (52%)52% related to the paper, Population (51%)51% related to the paper, Odds ratio (51%)51% related to the paper
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568 Citations
open accessOpen access Journal Article DOI: 10.1186/1471-2377-9-S1-S3
Characteristics of compounds that cross the blood-brain barrier
William A. Banks1
12 Jun 2009 - BMC Neurology

Abstract:

Substances cross the blood-brain barrier (BBB) by a variety of mechanisms. These include transmembrane diffusion, saturable transporters, adsorptive endocytosis, and the extracellular pathways. Here, we focus on the chief characteristics of two mechanisms especially important in drug delivery: transmembrane diffusion and tran... Substances cross the blood-brain barrier (BBB) by a variety of mechanisms. These include transmembrane diffusion, saturable transporters, adsorptive endocytosis, and the extracellular pathways. Here, we focus on the chief characteristics of two mechanisms especially important in drug delivery: transmembrane diffusion and transporters. Transmembrane diffusion is non-saturable and depends, on first analysis, on the physicochemical characteristics of the substance. However, brain-to-blood efflux systems, enzymatic activity, plasma protein binding, and cerebral blood flow can greatly alter the amount of the substance crossing the BBB. Transport systems increase uptake of ligands by roughly 10-fold and are modified by physiological events and disease states. Most drugs in clinical use to date are small, lipid soluble molecules that cross the BBB by transmembrane diffusion. However, many drug delivery strategies in development target peptides, regulatory proteins, oligonucleotides, glycoproteins, and enzymes for which transporters have been described in recent years. We discuss two examples of drug delivery for newly discovered transporters: that for phosphorothioate oligonucleotides and for enzymes. read more read less

Topics:

Nanoparticles for drug delivery to the brain (62%)62% related to the paper, Efflux (53%)53% related to the paper, Transmembrane protein (53%)53% related to the paper, Drug delivery (50%)50% related to the paper
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539 Citations
open accessOpen access Journal Article DOI: 10.1186/1471-2377-10-46
A systematic review of population based epidemiological studies in Myasthenia Gravis
Aisling Carr, Christopher Cardwell1, Peter McCarron1, J. McConville2, J. McConville3
18 Jun 2010 - BMC Neurology

Abstract:

The aim was to collate all myasthenia gravis (MG) epidemiological studies including AChR MG and MuSK MG specific studies. To synthesize data on incidence rate (IR), prevalence rate (PR) and mortality rate (MR) of the condition and investigate the influence of environmental and technical factors on any trends or variation obse... The aim was to collate all myasthenia gravis (MG) epidemiological studies including AChR MG and MuSK MG specific studies. To synthesize data on incidence rate (IR), prevalence rate (PR) and mortality rate (MR) of the condition and investigate the influence of environmental and technical factors on any trends or variation observed. Studies were identified using multiple sources and meta-analysis performed to calculate pooled estimates for IR, PR and MR. 55 studies performed between 1950 and 2007 were included, representing 1.7 billion population-years. For All MG estimated pooled IR (eIR): 5.3 per million person-years (C.I.:4.4, 6.1), range: 1.7 to 21.3; estimated pooled PR: 77.7 per million persons (C.I.:64.0, 94.3), range 15 to 179; MR range 0.1 to 0.9 per millions person-years. AChR MG eIR: 7.3 (C.I.:5.5, 7.8), range: 4.3 to 18.0; MuSK MG IR range: 0.1 to 0.32. However marked variation persisted between populations studied with similar methodology and in similar areas. We report marked variation in observed frequencies of MG. We show evidence of increasing frequency of MG with year of study and improved study quality. This probably reflects improved case ascertainment. But other factors must also influence disease onset resulting in the observed variation in IR across geographically and genetically similar populations. read more read less
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498 Citations
open accessOpen access Journal Article DOI: 10.1186/S12883-014-0204-1
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing
14 Oct 2014 - BMC Neurology

Abstract:

As greater numbers of us are living longer, it is increasingly important to understand how we can age healthily. Although old age is often stereotyped as a time of declining mental abilities and inflexibility, cognitive neuroscience reveals that older adults use neural and cognitive resources flexibly, recruiting novel neural... As greater numbers of us are living longer, it is increasingly important to understand how we can age healthily. Although old age is often stereotyped as a time of declining mental abilities and inflexibility, cognitive neuroscience reveals that older adults use neural and cognitive resources flexibly, recruiting novel neural regions and cognitive processes when necessary. Our aim in this project is to understand how age-related changes to neural structure and function interact to support cognitive abilities across the lifespan. We are recruiting a population-based cohort of 3000 adults aged 18 and over into Stage 1 of the project, where they complete an interview including health and lifestyle questions, a core cognitive assessment, and a self-completed questionnaire of lifetime experiences and physical activity. Of those interviewed, 700 participants aged 18-87 (100 per age decile) continue to Stage 2 where they undergo cognitive testing and provide measures of brain structure and function. Cognition is assessed across multiple domains including attention and executive control, language, memory, emotion, action control and learning. A subset of 280 adults return for in-depth neurocognitive assessment in Stage 3, using functional neuroimaging experiments across our key cognitive domains. Formal statistical models will be used to examine the changes that occur with healthy ageing, and to evaluate age-related reorganisation in terms of cognitive and neural functions invoked to compensate for overall age-related brain structural decline. Taken together the three stages provide deep phenotyping that will allow us to measure neural activity and flexibility during performance across a number of core cognitive functions. This approach offers hypothesis-driven insights into the relationship between brain and behaviour in healthy ageing that are relevant to the general population. Our study is a unique resource of neuroimaging and cognitive measures relevant to change across the adult lifespan. Because we focus on normal age-related changes, our results may contribute to changing views about the ageing process, lead to targeted interventions, and reveal how normal ageing relates to frail ageing in clinicopathological conditions such as Alzheimer's disease. read more read less

Topics:

Neurocognitive (62%)62% related to the paper, Functional neuroimaging (61%)61% related to the paper, Cognitive neuroscience (59%)59% related to the paper, Cognition (58%)58% related to the paper, Cognitive test (55%)55% related to the paper
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488 Citations
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Frequently asked questions

1. Can I write BMC Neurology in LaTeX?

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

2. Do you follow the BMC Neurology guidelines?

Yes, the template is compliant with the BMC Neurology 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 BMC Neurology?

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 BMC Neurology citation style.

4. Can I use the BMC Neurology 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 BMC Neurology.

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

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

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

7. Where can I find the template for the BMC Neurology?

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

SciSpace's BMC Neurology 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 BMC Neurology?

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 BMC Neurology?”

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

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

12. Is BMC Neurology'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 BMC Neurology?

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 BMC Neurology. 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 BMC Neurology?

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

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

16. Can I download BMC Neurology 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 BMC Neurology Endnote style according to Elsevier guidelines.

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