Example of Injury Epidemiology format
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Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format
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Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format Example of Injury Epidemiology format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Injury Epidemiology — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Medicine (all) #175 of 793 down down by 111 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 184 Published Papers | 579 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 21/07/2020
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Quality:  
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CiteRatio: 3.0
SJR: 0.38
SNIP: 1.081

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.

3.1

CiteRatio for Injury Epidemiology from 2016 - 2020
Year Value
2020 3.1
2019 3.1
2018 3.2
2017 3.5
graph view Graph view
table view Table view

0.859

3% from 2019

SJR for Injury Epidemiology from 2018 - 2020
Year Value
2020 0.859
2019 0.833
2018 0.904
graph view Graph view
table view Table view

1.433

1% from 2019

SNIP for Injury Epidemiology from 2017 - 2020
Year Value
2020 1.433
2019 1.425
2018 1.495
2017 1.057
graph view Graph view
table view Table view

insights Insights

  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

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

insights Insights

  • SNIP of this journal has increased by 1% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Injury Epidemiology

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Springer

Injury Epidemiology

Approved by publishing and review experts on SciSpace, this template is built as per for Injury Epidemiology formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 725 authors to write and format their manuscripts to this journal.

Injury control

i
Last updated on
21 Jul 2020
i
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)
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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/S40621-015-0041-8
Effectiveness of bystander naloxone administration and overdose education programs: a meta-analysis
Rebecca E. Giglio1, Guohua Li1, Charles DiMaggio2, Charles DiMaggio1
22 May 2015 - Injury Epidemiology

Abstract:

The objective of this review was to assess the effectiveness of bystander naloxone administration and overdose education programs by synthesizing quantitative results reported in the research literature. Studies meeting predefined criteria were identified and reviewed, and their results were synthesized through meta-analysis.... The objective of this review was to assess the effectiveness of bystander naloxone administration and overdose education programs by synthesizing quantitative results reported in the research literature. Studies meeting predefined criteria were identified and reviewed, and their results were synthesized through meta-analysis. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for overdose recoveries for individuals who received naloxone dispensed by non-medical community members, and the standardized mean difference was calculated for test scores of non-medical volunteers who received training in overdose management versus the scores of untrained volunteers. Pooled data from four studies showed that naloxone administration by bystanders was associated with a significantly increased odds of recovery compared with no naloxone administration (OR = 8.58, 95% CI = 3.90 to 13.25). Data from five studies of overdose education indicated that average scores were significantly higher for trained participants than untrained participants for tests on naloxone administration, overdose recognition, and overdose response (standardized mean difference = 1.35, 95% CI = 0.92 to 1.77). Empirical evidence in the research literature suggests that bystander naloxone administration and overdose education programs are associated with increased odds of recovery and with improved knowledge of overdose recognition and management in non-clinical settings. read more read less

Topics:

Naloxone (61%)61% related to the paper, Opioid overdose (60%)60% related to the paper, Poison control (51%)51% related to the paper
View PDF
142 Citations
open accessOpen access Journal Article DOI: 10.1186/2197-1714-1-5
Circumstances and outcomes of falls among high risk community-dwelling older adults.
Judy A. Stevens, Jane E. Mahoney1, Heidi Ehrenreich
20 Mar 2014 - Injury Epidemiology

Abstract:

For older adults, falls threaten their health, independence, and quality of life. Knowing the circumstances surrounding falls is essential for understanding how behavioral and environmental factors interact in fall events. It is also important for developing and implementing interventions that are effective and acceptable to ... For older adults, falls threaten their health, independence, and quality of life. Knowing the circumstances surrounding falls is essential for understanding how behavioral and environmental factors interact in fall events. It is also important for developing and implementing interventions that are effective and acceptable to older adults. This study investigated the circumstances and injury outcomes of falls among community-dwelling older adults at high risk for falls. In this secondary analysis, we examined the circumstances and outcomes of falls experienced by 328 participants in the Dane County (Wisconsin) Safety Assessment for Elders (SAFE) Research Study. SAFE was a randomized controlled trial of a community-based multifactorial falls intervention for older adults at high risk for falls, conducted from October 2002 to December 2007. Participants were community-dwelling adults aged ≥65 years who reported at least one fall during the year after study enrollment. Falls were collected prospectively using monthly calendars. Everyone who reported a fall was contacted by telephone to determine the circumstances surrounding the event. Injury outcomes were defined as none, mild (injury reported but no treatment sought), moderate (treatment for any injury except head injury or fracture), and severe (treatment for head injury or fracture). Data were available for 1,172 falls. A generalized linear mixed model analysis showed that being aged ≥85 (OR = 2.1, 95% confidence interval [CI] = 1.2–3.9), female (OR = 2.1, 95% CI = 1.3–3.4), falling backward and landing flat (OR = 5.6, 95% CI = 2.9–10.5), sideways (OR = 4.6, 95% CI = 2.6–8.0) and forward (OR = 3.3, 95% CI = 2.0–5.7) were significantly associated with the likelihood of injury. Of 783 falls inside the home, falls in the bathroom were more than twice as likely to result in an injury compared to falls in the living room (OR = 2.4, 95% CI = 1.2–4.9). Most falls among these high risk older adults occurred inside the home. The likelihood of injury in the bathroom supports the need for safety modifications such as grab bars, and may indicate a need for assistance with bathing. These findings will help clinicians tailor fall prevention for their patients and have practical implications for retirement and assisted living communities and community-based fall prevention programs. read more read less

Topics:

Fall prevention (55%)55% related to the paper, Poison control (54%)54% related to the paper, Injury prevention (53%)53% related to the paper
View PDF
136 Citations
open accessOpen access Journal Article DOI: 10.1186/S40621-017-0118-7
Risk markers for fatal and non-fatal prescription drug overdose: a meta-analysis
Joanne E. Brady1, Rebecca E. Giglio1, Katherine M. Keyes1, Charles DiMaggio2, Guohua Li1
07 Aug 2017 - Injury Epidemiology

Abstract:

Drug overdose is a public health crisis in the United States, due in part to the unintended consequences of increases in prescribing of opioid analgesics. Many clinicians evaluate risk markers for opioid-related harms when prescribing opioids for chronic pain; however, more data on predictive risk markers are needed. Risk mar... Drug overdose is a public health crisis in the United States, due in part to the unintended consequences of increases in prescribing of opioid analgesics. Many clinicians evaluate risk markers for opioid-related harms when prescribing opioids for chronic pain; however, more data on predictive risk markers are needed. Risk markers are attributes (modifiable and non-modifiable) that are associated with increased probability of an outcome. This review aims to identify risk markers associated with fatal and non-fatal prescription drug overdose by synthesizing findings in the existing peer-reviewed and grey literature. Eligible cohort, case-control, cross-sectional, and case-cohort studies were reviewed and data were extracted for qualitative and quantitative synthesis. Summary odds ratios (SOR) were estimated from 29 studies for six risk markers: sex, age, race, psychiatric disorders, substance use disorder (SUD), and urban/rural residence. Heterogeneity was assessed and effect estimates were stratified by study characteristics. Of the six risk markers identified, SUD had the strongest association with drug overdose death (SOR = 5.24, 95% confidence interval (CI) = 3.53 - 7.76), followed by psychiatric disorders (SOR = 3.94, 95% CI = 3.09 - 5.01), white race (SOR = 2.28, 95% CI = 1.93 - 2.70), the 35-44 year age group relative to the 25-34 year reference group (SOR = 1.52, 95% CI = 1.31 - 1.76), and male sex (SOR = 1.33, 95% CI = 1.17 - 1.51). This review highlights fatal and non-fatal prescription drug risk markers most frequently assessed in peer-reviewed and grey literature. There is a need to better understand modifiable risk markers and underlying reasons for drug misuse in order to inform interventions that may prevent future drug overdoses. read more read less

Topics:

Drug overdose (58%)58% related to the paper, Prescription drug (55%)55% related to the paper, Odds ratio (53%)53% related to the paper, Substance abuse (52%)52% related to the paper, Substance-related disorder (52%)52% related to the paper
View PDF
90 Citations
open accessOpen access Journal Article DOI: 10.1186/S40621-016-0084-5
Complications and in-hospital mortality in trauma patients treated in intensive care units in the United States, 2013
Meghan Prin1, Guohua Li1
04 Aug 2016 - Injury Epidemiology

Abstract:

Traumatic injury is a leading cause of morbidity and mortality worldwide, but epidemiologic data about trauma patients who require intensive care unit (ICU) admission are scant. This study aimed to describe the annual incidence of ICU admission for adult trauma patients, including an assessment of risk factors for hospital co... Traumatic injury is a leading cause of morbidity and mortality worldwide, but epidemiologic data about trauma patients who require intensive care unit (ICU) admission are scant. This study aimed to describe the annual incidence of ICU admission for adult trauma patients, including an assessment of risk factors for hospital complications and mortality in this population. This was a retrospective study of adults hospitalized at Level 1 and Level 2 trauma centers after trauma and recorded in the National Trauma Data Bank in 2013. Multiple logistic regression analyses were performed to determine predictors of hospital complications and hospital mortality for those who required ICU admission. There were an estimated total of 1.03 million ICU admissions for trauma at Level 1 and Level 2 trauma centers in the United States in 2013, yielding an annual incidence of 3.3 per 1000 population. The annual incidence was highest in men (4.6 versus 1.9 per 100,000 for women), those aged 80 years or older (7.8 versus 3.6–4.3 per 100,000 in other age groups), and residents in the Western US Census region (3.9 versus 2.7 to 3.6 per 100,000 in other regions). The most common complications in patients admitted to the ICU were pneumonia (10.9 %), urinary tract infection (4.7 %), and acute respiratory distress syndrome (4.4 %). Hospital mortality was significantly higher for ICU patients who developed one or more complications (16.9 % versus 10.7 % for those who did not develop any complications, p < 0.001). Admission to the ICU after traumatic injury is common, and almost a quarter of these patients experience hospital complications. Hospital complications are associated with significantly increased risk of mortality. read more read less

Topics:

Intensive care (57%)57% related to the paper, Intensive care unit (55%)55% related to the paper, Population (53%)53% related to the paper, Poison control (51%)51% related to the paper
View PDF
88 Citations
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Frequently asked questions

1. Can I write Injury Epidemiology in LaTeX?

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

2. Do you follow the Injury Epidemiology guidelines?

Yes, the template is compliant with the Injury Epidemiology 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 Injury Epidemiology?

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 Injury Epidemiology citation style.

4. Can I use the Injury Epidemiology 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 Injury Epidemiology.

5. Can I use a manuscript in Injury Epidemiology 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 Injury Epidemiology that you can download at the end.

6. How long does it usually take you to format my papers in Injury Epidemiology?

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

7. Where can I find the template for the Injury Epidemiology?

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 Injury Epidemiology'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 Injury Epidemiology'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. Injury Epidemiology an online tool or is there a desktop version?

SciSpace's Injury Epidemiology 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 Injury Epidemiology?

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 Injury Epidemiology?”

11. What is the output that I would get after using Injury Epidemiology?

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

12. Is Injury Epidemiology'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 Injury Epidemiology?

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 Injury Epidemiology. 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 Injury Epidemiology?

The 5 most common citation types in order of usage for Injury Epidemiology 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 Injury Epidemiology?

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

16. Can I download Injury Epidemiology 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 Injury Epidemiology 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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