Example of Journal of Electromyography and Kinesiology format
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Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format Example of Journal of Electromyography and Kinesiology format
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open access Open Access ISSN: 10506411 e-ISSN: 18735711

Journal of Electromyography and Kinesiology — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Neurology (clinical) #161 of 343 down down by 10 ranks
Biophysics #63 of 131 down down by 5 ranks
Neuroscience (miscellaneous) #12 of 24 up up by 6 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 392 Published Papers | 1472 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 16/07/2020
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor 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.

1.74

1% from 2018

Impact factor for Journal of Electromyography and Kinesiology from 2016 - 2019
Year Value
2019 1.74
2018 1.753
2017 1.568
2016 1.51
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

3.8

15% from 2019

CiteRatio for Journal of Electromyography and Kinesiology from 2016 - 2020
Year Value
2020 3.8
2019 3.3
2018 3.3
2017 3.3
2016 3.6
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 15% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.743

13% from 2019

SJR for Journal of Electromyography and Kinesiology from 2016 - 2020
Year Value
2020 0.743
2019 0.659
2018 0.815
2017 0.778
2016 1.017
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 13% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.161

9% from 2019

SNIP for Journal of Electromyography and Kinesiology from 2016 - 2020
Year Value
2020 1.161
2019 1.27
2018 1.237
2017 1.178
2016 1.295
graph view Graph view
table view Table view

insights Insights

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

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Journal of Electromyography and Kinesiology

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Elsevier

Journal of Electromyography and Kinesiology

Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the ...... Read More

Clinical Neurology

Biophysics

Neuroscience (miscellaneous)

Medicine

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Last updated on
16 Jul 2020
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ISSN
1050-6411
i
Acceptance Rate
Not Provided
i
Frequency
Not Provided
i
Open Access
Not Provided
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
elsarticle-num
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Citation Type
Numbered
[25]
i
Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/S1050-6411(00)00027-4
Development of recommendations for SEMG sensors and sensor placement procedures.

Abstract:

The knowledge of surface electromyography (SEMG) and the number of applications have increased considerably during the past ten years. However, most methodological developments have taken place locally, resulting in different methodologies among the different groups of users. A specific objective of the European concerted ... The knowledge of surface electromyography (SEMG) and the number of applications have increased considerably during the past ten years. However, most methodological developments have taken place locally, resulting in different methodologies among the different groups of users. A specific objective of the European concerted action SENIAM (surface EMG for a non-invasive assessment of muscles) was, besides creating more collaboration among the various European groups, to develop recommendations on sensors, sensor placement, signal processing and modeling. This paper will present the process and the results of the development of the recommendations for the SEMG sensors and sensor placement procedures. Execution of the SENIAM sensor tasks, in the period 1996–1999, has been handled in a number of partly parallel and partly sequential activities. A literature scan was carried out on the use of sensors and sensor placement procedures in European laboratories. In total, 144 peer-reviewed papers were scanned on the applied SEMG sensor properties and sensor placement procedures. This showed a large variability of methodology as well as a rather insufficient description. A special workshop provided an overview on the scientific and clinical knowledge of the effects of sensor properties and sensor placement procedures on the SEMG characteristics. Based on the inventory, the results of the topical workshop and generally accepted state-of-the-art knowledge, a first proposal for sensors and sensor placement procedures was defined. Besides containing a general procedure and recommendations for sensor placement, this was worked out in detail for 27 different muscles. This proposal was evaluated in several European laboratories with respect to technical and practical aspects and also sent to all members of the SENIAM club (>100 members) together with a questionnaire to obtain their comments. Based on this evaluation the final recommendations of SENIAM were made and published (SENIAM 8: European recommendations for surface electromyography, 1999), both as a booklet and as a CD-ROM. In this way a common body of knowledge has been created on SEMG sensors and sensor placement properties as well as practical guidelines for the proper use of SEMG. read more read less
4,235 Citations
Journal Article DOI: 10.1016/S1050-6411(03)00044-0
Clinical spinal instability and low back pain
Manohar M. Panjabi1

Abstract:

Clinical instability is an important cause of low back pain. Although there is some controversy concerning its definition, it is most widely believed that the loss of normal pattern of spinal motion causes pain and/or neurologic dysfunction. The stabilizing system of the spine may be divided into three subsystems: (1) the spi... Clinical instability is an important cause of low back pain. Although there is some controversy concerning its definition, it is most widely believed that the loss of normal pattern of spinal motion causes pain and/or neurologic dysfunction. The stabilizing system of the spine may be divided into three subsystems: (1) the spinal column; (2) the spinal muscles; and (3) the neural control unit. A large number of biomechanical studies of the spinal column have provided insight into the role of the various components of the spinal column in providing spinal stability. The neutral zone was found to be a more sensitive parameter than the range of motion in documenting the effects of mechanical destabilization of the spine caused by injury and restabilization of the spine by osteophyle formation, fusion or muscle stabilization. Clinical studies indicate that the application of an external fixator to the painful segment of the spine can significantly reduce the pain. Results of an in vitro simulation of the study found that it was most probably the decrease in the neutral zone, which was responsible for pain reduction. A hypothesis relating the neutral zone to pain has been presented. The spinal muscles provide significant stability to the spine as shown by both in vitro experiments and mathematical models. Concerning the role of neuromuscular control system, increased body sway has been found in patients with low back pain, indicating a less efficient muscle control system with decreased ability to provide the needed spinal stability.  2003 Elsevier Science Ltd. All rights reserved. read more read less

Topics:

Spinal column (66%)66% related to the paper, Low back pain (63%)63% related to the paper
791 Citations
Journal Article DOI: 10.1016/S1050-6411(03)00042-7
Pain and motor control of the lumbopelvic region: effect and possible mechanisms
Paul W. Hodges1, G. Lorimer Moseley1

Abstract:

Many authors report changes in the control of the trunk muscles in people with low back pain (LBP). Although there is considerable disagreement regarding the nature of these changes, we have consistently found differential effects on the deep intrinsic and superficial muscles of the lumbopelvic region. Two issues require cons... Many authors report changes in the control of the trunk muscles in people with low back pain (LBP). Although there is considerable disagreement regarding the nature of these changes, we have consistently found differential effects on the deep intrinsic and superficial muscles of the lumbopelvic region. Two issues require consideration; first, the potential mechanisms for these changes in control, and secondly, the effect or outcome of changes in control for lumbopelvic function. Recent data indicate that experimentally induced pain may replicate some of the changes identified in people with LBP. While this does not exclude the possibility that changes in control of the trunk muscles may lead to pain, it does argue that, at least in some cases, pain may cause the changes in control. There are many possible mechanisms, including changes in excitability in the motor pathway, changes in the sensory system, and factors associated with the attention demanding, stressful and fearful aspects of pain. A new hypothesis is presented regarding the outcome from differential effects of pain on the elements of the motor system. Taken together these data argue for strategies of prevention and rehabilitation of LBP. read more read less

Topics:

Low back pain (54%)54% related to the paper, Motor control (51%)51% related to the paper
596 Citations
Journal Article DOI: 10.1016/S1050-6411(03)00041-5
Trunk muscle activation in low-back pain patients, an analysis of the literature
Jaap H. van Dieën1, Luc P. J. Selen1, Jacek Cholewicki2

Abstract:

This paper provides an analysis of the literature on trunk muscle recruitment in low-back pain patients. Two models proposed in the literature, the pain–spasm–pain model and the pain adaptation model, yield conflicting predictions on how low- back pain would affect trunk muscle recruitment in various activities. The two model... This paper provides an analysis of the literature on trunk muscle recruitment in low-back pain patients. Two models proposed in the literature, the pain–spasm–pain model and the pain adaptation model, yield conflicting predictions on how low- back pain would affect trunk muscle recruitment in various activities. The two models are outlined and evidence for the two from neurophsysiological studies is reviewed. Subsequently, specific predictions with respect to changes in activation of the lumbar extensor musculature are derived from both models. These predictions are compared to the results from 30 clinical studies and three induced pain studies retrieved in a comprehensive literature search. Neither of the two models is unequivocally supported by the literature. These data and further data on timing of muscle activity and load sharing between muscles suggest an alternative model to explain the alterations of trunk muscle recruitment due to low-back pain. It is proposed that motor control changes in patients are functional in that they enhance spinal stability. read more read less

Topics:

Back pain (59%)59% related to the paper, Low back pain (57%)57% related to the paper, Electromyography (53%)53% related to the paper
575 Citations
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Journal of Electromyography and Kinesiology format uses elsarticle-num citation style.

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One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Journal of Electromyography and Kinesiology's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

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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 those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo 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:
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  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

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S. No. Citation Style Type
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3. Numbered (Superscripted)
4. Author Year (Cited Pages)
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SciSpace would allow download of your references in Journal of Electromyography and Kinesiology Endnote style, according to elsevier guidelines.

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