Example of Sports Medicine - Open format
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Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format Example of Sports Medicine - Open format
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open access Open Access
recommended Recommended

Sports Medicine - Open — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Physical Therapy, Sports Therapy and Rehabilitation #19 of 206 up up by 13 ranks
Orthopedics and Sports Medicine #31 of 262 up up by 23 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 208 Published Papers | 1122 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/07/2020
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

5.4

59% from 2019

CiteRatio for Sports Medicine - Open from 2016 - 2020
Year Value
2020 5.4
2019 3.4
2018 5.2
2017 3.9
graph view Graph view
table view Table view

1.15

21% from 2019

SJR for Sports Medicine - Open from 2018 - 2020
Year Value
2020 1.15
2019 0.949
2018 1.143
graph view Graph view
table view Table view

1.705

61% from 2019

SNIP for Sports Medicine - Open from 2017 - 2020
Year Value
2020 1.705
2019 1.058
2018 1.355
2017 1.8
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 59% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 21% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 61% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Sports Medicine - Open

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Springer

Sports Medicine - Open

Approved by publishing and review experts on SciSpace, this template is built as per for Sports Medicine - Open formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 242 authors to write and format their manuscripts to this journal.

Sports Medicine

i
Last updated on
06 Jul 2020
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ISSN
1606-8610
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
White faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Citation Type
Author Year
(Blonder et al, 1982)
i
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/S40798-015-0009-9
Human tendon adaptation in response to mechanical loading: a systematic review and meta-analysis of exercise intervention studies on healthy adults
Sebastian Bohm1, Falk Mersmann1, Adamantios Arampatzis1
27 Mar 2015 - Sports Medicine - Open

Abstract:

The present article systematically reviews recent literature on the in vivo adaptation of asymptomatic human tendons following increased chronic mechanical loading, and meta-analyzes the loading conditions, intervention outcomes, as well as methodological aspects. The search was performed in the databases PubMed, Web of Knowl... The present article systematically reviews recent literature on the in vivo adaptation of asymptomatic human tendons following increased chronic mechanical loading, and meta-analyzes the loading conditions, intervention outcomes, as well as methodological aspects. The search was performed in the databases PubMed, Web of Knowledge, and Scopus as well as in the reference lists of the eligible articles. A study was included if it conducted (a) a longitudinal exercise intervention (≥8 weeks) on (b) healthy humans (18 to 50 years), (c) investigating the effects on mechanical (i.e., stiffness), material (i.e., Young’s modulus) and/or morphological properties (i.e., cross-sectional area (CSA)) of tendons in vivo, and was reported (d) in English language. Weighted average effect sizes (SMD, random-effects) and heterogeneity (Q and I 2 statistics) of the intervention-induced changes of tendon stiffness, Young’s modulus, and CSA were calculated. A subgroup analysis was conducted regarding the applied loading intensity, muscle contraction type, and intervention duration. Further, the methodological study quality and the risk of bias were assessed. The review process yielded 27 studies with 37 separate interventions on either the Achilles or patellar tendon (264 participants). SMD was 0.70 (confidence interval: 0.51, 0.88) for tendon stiffness (N=37), 0.69 (0.36, 1.03) for Young’s modulus (N=17), and 0.24 (0.07, 0.42) for CSA (N=33), with significant overall intervention effects (p<0.05). The heterogeneity analysis (stiffness: I 2 =30%; Young’s modulus: I 2 =57%; CSA: I 2 =21%) indicated that differences in the loading conditions may affect the adaptive responses. The subgroup analysis confirmed that stiffness adaptation significantly (p<0.05) depends on loading intensity (I 2 =0%), but not on muscle contraction type. Although not significantly different, SMD was higher for interventions with longer duration (≥12 weeks). The average score of 71±9% in methodological quality assessment indicated an appropriate quality of most studies. The present meta-analysis provides elaborate statistical evidence that tendons are highly responsive to diverse loading regimens. However, the data strongly suggests that loading magnitude in particular plays a key role for tendon adaptation in contrast to muscle contraction type. Furthermore, intervention-induced changes in tendon stiffness seem to be more attributed to adaptations of the material rather than morphological properties. read more read less
View PDF
280 Citations
open accessOpen access Journal Article DOI: 10.1186/S40798-018-0139-Y
A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System
Steffi L. Colyer1, Murray Evans1, Darren Cosker1, Aki I.T. Salo1
05 Jun 2018 - Sports Medicine - Open

Abstract:

The study of human movement within sports biomechanics and rehabilitation settings has made considerable progress over recent decades. However, developing a motion analysis system that collects accurate kinematic data in a timely, unobtrusive and externally valid manner remains an open challenge. This narrative review conside... The study of human movement within sports biomechanics and rehabilitation settings has made considerable progress over recent decades. However, developing a motion analysis system that collects accurate kinematic data in a timely, unobtrusive and externally valid manner remains an open challenge. This narrative review considers the evolution of methods for extracting kinematic information from images, observing how technology has progressed from laborious manual approaches to optoelectronic marker-based systems. The motion analysis systems which are currently most widely used in sports biomechanics and rehabilitation do not allow kinematic data to be collected automatically without the attachment of markers, controlled conditions and/or extensive processing times. These limitations can obstruct the routine use of motion capture in normal training or rehabilitation environments, and there is a clear desire for the development of automatic markerless systems. Such technology is emerging, often driven by the needs of the entertainment industry, and utilising many of the latest trends in computer vision and machine learning. However, the accuracy and practicality of these systems has yet to be fully scrutinised, meaning such markerless systems are not currently in widespread use within biomechanics. This review aims to introduce the key state-of-the-art in markerless motion capture research from computer vision that is likely to have a future impact in biomechanics, while considering the challenges with accuracy and robustness that are yet to be addressed. read more read less

Topics:

Sports biomechanics (55%)55% related to the paper, Entertainment industry (54%)54% related to the paper, Motion capture (53%)53% related to the paper, Motion analysis (51%)51% related to the paper
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270 Citations
open accessOpen access Journal Article DOI: 10.1186/S40798-015-0007-Y
Running economy: measurement, norms, and determining factors
Kyle R. Barnes1, Andrew E. Kilding1
27 Mar 2015 - Sports Medicine - Open

Abstract:

Running economy (RE) is considered an important physiological measure for endurance athletes, especially distance runners. This review considers 1) how RE is defined and measured and 2) physiological and biomechanical factors that determine or influence RE. It is difficult to accurately ascertain what is good, average, and po... Running economy (RE) is considered an important physiological measure for endurance athletes, especially distance runners. This review considers 1) how RE is defined and measured and 2) physiological and biomechanical factors that determine or influence RE. It is difficult to accurately ascertain what is good, average, and poor RE between athletes and studies due to variation in protocols, gas-analysis systems, and data averaging techniques. However, representative RE values for different caliber of male and female runners can be identified from existing literature with mostly clear delineations in oxygen uptake across a range of speeds in moderately and highly trained and elite runners. Despite being simple to measure and acceptably reliable, it is evident that RE is a complex, multifactorial concept that reflects the integrated composite of a variety of metabolic, cardiorespiratory, biomechanical and neuromuscular characteristics that are unique to the individual. Metabolic efficiency refers to the utilization of available energy to facilitate optimal performance, whereas cardiopulmonary efficiency refers to a reduced work output for the processes related to oxygen transport and utilization. Biomechanical and neuromuscular characteristics refer to the interaction between the neural and musculoskeletal systems and their ability to convert power output into translocation and therefore performance. Of the numerous metabolic, cardiopulmonary, biomechanical and neuromuscular characteristics contributing to RE, many of these are able to adapt through training or other interventions resulting in improved RE. read more read less

Topics:

Running economy (59%)59% related to the paper, Oxygen transport (55%)55% related to the paper
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255 Citations
open accessOpen access Journal Article DOI: 10.1186/S40798-018-0124-5
CrossFit Overview: Systematic Review and Meta-analysis
26 Feb 2018 - Sports Medicine - Open

Abstract:

CrossFit is recognized as one of the fastest growing high-intensity functional training modes in the world. However, scientific data regarding the practice of CrossFit is sparse. Therefore, the objective of this study is to analyze the findings of scientific literature related to CrossFit via systematic review and meta-analys... CrossFit is recognized as one of the fastest growing high-intensity functional training modes in the world. However, scientific data regarding the practice of CrossFit is sparse. Therefore, the objective of this study is to analyze the findings of scientific literature related to CrossFit via systematic review and meta-analysis. Systematic searches of the PubMed, Web of Science, Scopus, Bireme/MedLine, and SciELO online databases were conducted for articles reporting the effects of CrossFit training. The systematic review followed the PRISMA guidelines. The Oxford Levels of Evidence was used for all included articles, and only studies that investigated the effects of CrossFit as a training program were included in the meta-analysis. For the meta-analysis, effect sizes (ESs) with 95% confidence interval (CI) were calculated and heterogeneity was assessed using a random-effects model. Thirty-one articles were included in the systematic review and four were included in the meta-analysis. However, only two studies had a high level of evidence at low risk of bias. Scientific literature related to CrossFit has reported on body composition, psycho-physiological parameters, musculoskeletal injury risk, life and health aspects, and psycho-social behavior. In the meta-analysis, significant results were not found for any variables. The current scientific literature related to CrossFit has few studies with high level of evidence at low risk of bias. However, preliminary data has suggested that CrossFit practice is associated with higher levels of sense of community, satisfaction, and motivation. read more read less
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162 Citations
open accessOpen access Journal Article DOI: 10.1186/S40798-018-0157-9
The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis
Roxanne Gal1, Anne M. May1, Elon J. van Overmeeren1, Monique Simons1, Evelyn M. Monninkhof1
03 Sep 2018 - Sports Medicine - Open

Abstract:

Worldwide physical activity levels of adults are declining, which is associated with increased chronic disease risk Wearables and smartphone applications offer new opportunities to change physical activity behaviour This systematic review summarizes the evidence regarding the effect of wearables and smartphone applications on... Worldwide physical activity levels of adults are declining, which is associated with increased chronic disease risk Wearables and smartphone applications offer new opportunities to change physical activity behaviour This systematic review summarizes the evidence regarding the effect of wearables and smartphone applications on promoting physical activity PubMed, EMBASE and Cochrane databases were searched for RCTs, published since January 2008, on wearables and smartphone applications to promote physical activity Studies were excluded when the study population consisted of children or adolescents, the intervention did not promote physical activity or comprised a minor part of the intervention, or the intervention was Internet-based and not accessible by smartphone Risk of bias was assessed by the Cochrane collaboration tool The primary outcome was changed in physical activity level Meta-analyses were performed to assess the pooled effect on (moderate-to-vigorous) physical activity in minutes per day and daily step count Eighteen RCTs were included Use of wearables and smartphone applications led to a small to moderate increase in physical activity in minutes per day (SMD = 043, 95% CI = 003 to 082; I2 = 85%) and a moderate increase in daily step count (SMD = 051, 95% CI = 012 to 091; I2 = 90%) When removing studies with an unclear or high risk of bias, intervention effects improved and statistical heterogeneity was removed This meta-analysis showed a small to moderate effect of physical activity interventions comprising wearables and smartphone applications on physical activity Hence, wearables and smartphone applications are likely to bring new opportunities in delivering tailored interventions to increase levels of physical activity read more read less

Topics:

Physical activity level (55%)55% related to the paper
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158 Citations
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Frequently asked questions

1. Can I write Sports Medicine - Open in LaTeX?

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

2. Do you follow the Sports Medicine - Open guidelines?

Yes, the template is compliant with the Sports Medicine - Open 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 Sports Medicine - Open?

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 Sports Medicine - Open citation style.

4. Can I use the Sports Medicine - Open 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 Sports Medicine - Open.

5. Can I use a manuscript in Sports Medicine - Open 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 Sports Medicine - Open that you can download at the end.

6. How long does it usually take you to format my papers in Sports Medicine - Open?

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

7. Where can I find the template for the Sports Medicine - Open?

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 Sports Medicine - Open'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 Sports Medicine - Open'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. Sports Medicine - Open an online tool or is there a desktop version?

SciSpace's Sports Medicine - Open 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.

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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 Sports Medicine - Open?”

11. What is the output that I would get after using Sports Medicine - Open?

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

12. Is Sports Medicine - Open'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 Sports Medicine - Open?

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 Sports Medicine - Open. 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 Sports Medicine - Open?

The 5 most common citation types in order of usage for Sports Medicine - Open 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 Sports Medicine - Open?

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16. Can I download Sports Medicine - Open 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 Sports Medicine - Open Endnote style according to Elsevier guidelines.

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