Example of Biometrics format
Recent searches

Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics format Example of Biometrics 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

Biometrics — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Agricultural and Biological Sciences (all) #50 of 209 up up by 1 rank
Statistics and Probability #58 of 239 up up by 6 ranks
Applied Mathematics #158 of 548 up up by 4 ranks
Biochemistry, Genetics and Molecular Biology (all) #94 of 204 up up by 6 ranks
Immunology and Microbiology (all) #28 of 45 up up by 3 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 554 Published Papers | 1645 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 18/07/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 4.9
SJR: 0.657
SNIP: 0.944
open access Open Access
recommended Recommended

EMBO Press

Quality:  
High
CiteRatio: 15.6
SJR: 8.523
SNIP: 2.323
open access Open Access
recommended Recommended

PLOS

Quality:  
High
CiteRatio: 11.0
SJR: 4.127
SNIP: 2.005

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.

1.711

3% from 2018

Impact factor for Biometrics from 2016 - 2019
Year Value
2019 1.711
2018 1.755
2017 1.524
2016 1.329
graph view Graph view
table view Table view

3.0

15% from 2019

CiteRatio for Biometrics from 2016 - 2020
Year Value
2020 3.0
2019 2.6
2018 2.5
2017 2.2
2016 2.5
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 3% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

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)

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.

2.298

21% from 2019

SJR for Biometrics from 2016 - 2020
Year Value
2020 2.298
2019 1.894
2018 2.301
2017 2.14
2016 1.558
graph view Graph view
table view Table view

1.501

4% from 2019

SNIP for Biometrics from 2016 - 2020
Year Value
2020 1.501
2019 1.563
2018 1.27
2017 1.246
2016 1.047
graph view Graph view
table view Table view

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 decreased by 4% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Biometrics

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

Wiley

Biometrics

Published on behalf of the International Biometric Society, Biometrics emphasizes the role of statistics and mathematics in the biosciences. Its objectives are to promote and extend the use of statistical and mathematical methods in the principal disciplines of biosciences by ...... Read More

Mathematics

i
Last updated on
18 Jul 2020
i
ISSN
0006-341X
i
Impact Factor
High - 1.172
i
Acceptance Rate
23%
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder, G.E., Tinkham, M., and Klapwijk, T.M. (1982) Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, chargeimbalance, and supercurrent conversion. Phys. Rev. B, 25 (7), 4515–4532. URL 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.2307/2529310
The measurement of observer agreement for categorical data
J. R. Landis1, Gary G. Koch
01 Mar 1977 - Biometrics

Abstract:

This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the ... This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature. read more read less

Topics:

Categorical variable (58%)58% related to the paper, Fleiss' kappa (54%)54% related to the paper, Intra-rater reliability (51%)51% related to the paper, Cohen's kappa (50%)50% related to the paper, Multivariate statistics (50%)50% related to the paper
View PDF
64,109 Citations
Journal Article DOI: 10.2307/2532419
Applied Logistic Regression.
A. J. Scott, David W. Hosmer, Stanley Lemeshow
01 Dec 1991 - Biometrics

Abstract:

\"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous out... \"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data. A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion. Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines\"-- read more read less

Topics:

Logistic regression (72%)72% related to the paper
30,190 Citations
Journal Article DOI: 10.2307/3001478
Multiple range and multiple f tests
01 Mar 1955 - Biometrics

Topics:

Range (statistics) (52%)52% related to the paper
22,988 Citations
Journal Article DOI: 10.2307/2531595
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
Elizabeth R. DeLong1, David M. DeLong1, Daniel L. Clarke-Pearson
01 Sep 1988 - Biometrics

Abstract:

Methods of evaluating and comparing the performance of diagnostic tests are of increasing importance as new tests are developed and marketed. When a test is based on an observed variable that lies on a continuous or graded scale, an assessment of the overall value of the test can be made through the use of a receiver operatin... Methods of evaluating and comparing the performance of diagnostic tests are of increasing importance as new tests are developed and marketed. When a test is based on an observed variable that lies on a continuous or graded scale, an assessment of the overall value of the test can be made through the use of a receiver operating characteristic (ROC) curve. The curve is constructed by varying the cutpoint used to determine which values of the observed variable will be considered abnormal and then plotting the resulting sensitivities against the corresponding false positive rates. When two or more empirical curves are constructed based on tests performed on the same individuals, statistical analysis on differences between curves must take into account the correlated nature of the data. This paper presents a nonparametric approach to the analysis of areas under correlated ROC curves, by using the theory on generalized U-statistics to generate an estimated covariance matrix. read more read less

Topics:

Receiver operating characteristic (58%)58% related to the paper, Nonparametric statistics (50%)50% related to the paper
16,496 Citations
Journal Article DOI: 10.2307/2533446
Operating characteristics of a rank correlation test for publication bias.
Colin B. Begg1, Madhuchhanda Mazumdar
01 Dec 1994 - Biometrics

Abstract:

An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the nature ... An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the nature of the selection mechanism, the range of variances of the effect size estimates, and the true underlying effect size are all observed to be influential in determining the power of the test. The test is fairly powerful for large meta-analyses with 75 component studies, but has only moderate power for meta-analyses with 25 component studies. However, in many of the configurations in which there is low power, there is also relatively little bias in the summary effect size estimate. Nonetheless, the test must be interpreted with caution in small meta-analyses. In particular, bias cannot be ruled out if the test is not significant. The proposed technique has potential utility as an exploratory tool for meta-analysts, as a formal procedure to complement the funnel-graph. read more read less

Topics:

Verification bias (64%)64% related to the paper, Test statistic (58%)58% related to the paper, Spectrum bias (56%)56% related to the paper, Rank correlation (56%)56% related to the paper, Selection bias (56%)56% related to the paper
View PDF
13,373 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for Biometrics.

It automatically formats your research paper to Wiley formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

Biometrics format uses apa citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Biometrics in LaTeX?

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

2. Do you follow the Biometrics guidelines?

Yes, the template is compliant with the Biometrics 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 Biometrics?

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 Biometrics citation style.

4. Can I use the Biometrics 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 Biometrics.

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

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

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

7. Where can I find the template for the Biometrics?

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

SciSpace's Biometrics 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 Biometrics?

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 Biometrics?”

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

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

12. Is Biometrics'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 Biometrics?

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 Biometrics. 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 Biometrics?

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

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

16. Can I download Biometrics 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 Biometrics Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to Biometrics formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

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.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template