Example of Genetic Testing and Molecular Biomarkers format
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Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format Example of Genetic Testing and Molecular Biomarkers format
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open access Open Access

Genetic Testing and Molecular Biomarkers — Template for authors

Categories Rank Trend in last 3 yrs
Genetics (clinical) #73 of 87 up up by 2 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 450 Published Papers | 990 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 11/06/2020
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Top papers
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Related Journals

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Quality:  
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CiteRatio: 9.0
SJR: 3.587
SNIP: 1.457
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SJR: 1.945
SNIP: 0.996
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CiteRatio: 15.2
SJR: 5.564
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Springer

Quality:  
High
CiteRatio: 9.5
SJR: 2.351
SNIP: 1.869

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.

1.346

20% from 2018

Impact factor for Genetic Testing and Molecular Biomarkers from 2016 - 2019
Year Value
2019 1.346
2018 1.121
2017 1.181
2016 1.263
graph view Graph view
table view Table view

2.2

5% from 2019

CiteRatio for Genetic Testing and Molecular Biomarkers from 2016 - 2020
Year Value
2020 2.2
2019 2.1
2018 2.1
2017 2.2
2016 2.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 20% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 5% 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.

0.405

13% from 2019

SJR for Genetic Testing and Molecular Biomarkers from 2016 - 2020
Year Value
2020 0.405
2019 0.466
2018 0.439
2017 0.507
2016 0.518
graph view Graph view
table view Table view

0.439

24% from 2019

SNIP for Genetic Testing and Molecular Biomarkers from 2016 - 2020
Year Value
2020 0.439
2019 0.579
2018 0.473
2017 0.512
2016 0.525
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • SNIP of this journal has decreased by 24% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Genetic Testing and Molecular Biomarkers

Guideline source: View

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

Mary Ann Liebert, Inc.

Genetic Testing and Molecular Biomarkers

Genetic Testing and Molecular Biomarkers is the leading peer-reviewed journal covering all aspects of genetic testing including molecular biomarkers. This journal is a forum for the development of new technology; the application of testing to decision making in an increasingly...... Read More

Medicine

i
Last updated on
11 Jun 2020
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ISSN
1945-0265
i
Impact Factor
Medium - 0.522
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. 1982. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and super- current conversion. Phys Rev B, 25(7), 4515– 4532.

Top papers written in this journal

Journal Article DOI: 10.1089/GTMB.2010.0036
Using SIFT and PolyPhen to Predict Loss-of-Function and Gain-of-Function Mutations
Sarah E. Flanagan1, Ann-Marie Patch, Sian Ellard

Abstract:

Context: The interpretation of novel missense variants is a challenge with increasing numbers of such variants being identified and a responsibility to report the findings in the context of all available scientific evidence. Various in silico bioinformatic tools have been developed that predict the likely pathogenicity of mis... Context: The interpretation of novel missense variants is a challenge with increasing numbers of such variants being identified and a responsibility to report the findings in the context of all available scientific evidence. Various in silico bioinformatic tools have been developed that predict the likely pathogenicity of missense variants; however, their utility within the diagnostic setting requires further investigation. Aim: The aim of our study was to test the predictive value of two of these tools, sorting intolerant from tolerant (SIFT) and polymorphism phenotyping (PolyPhen), in a set of 141 missense variants (131 pathogenic, 8 benign) identified in the ABCC8, GCK, and KCNJ11 genes. Methods: Sixty-six of the mutations caused a gain of protein function, while 67 were loss-of-function mutations. The evolutionary conservation at each residue was also investigated using multiple sequence alignments from the UCSC genome browser. Results: The sensitivity of SIFT and PolyPhen was reasonably high (69% and... read more read less
352 Citations
open accessOpen access Journal Article DOI: 10.1089/GTMB.2012.0350
Public Knowledge of and Attitudes Toward Genetics and Genetic Testing

Abstract:

Background: Variable health literacy and genetic knowledge may pose significant challenges to engaging the general public in personal genomics, specifically with respect to promoting risk comprehension and healthy behaviors. Methods: We are conducting a multistage study of individual responses to genomic risk information for ... Background: Variable health literacy and genetic knowledge may pose significant challenges to engaging the general public in personal genomics, specifically with respect to promoting risk comprehension and healthy behaviors. Methods: We are conducting a multistage study of individual responses to genomic risk information for Type 2 diabetes mellitus. A total of 300 individuals were recruited from the general public in Durham, North Carolina: 60% self-identified as White; 70% female; and 65% have a college degree. As part of the baseline survey, we assessed genetic knowledge and attitudes toward genetic testing. Results: Scores of factual knowledge of genetics ranged from 50% to 100% (average=84%), with significant differences in relation to racial groups, the education level, and age. Scores were significantly higher on questions pertaining to the inheritance and causes of disease (mean score 90%) compared to scientific questions (mean score 77.4%). Scores on the knowledge survey were significantly higher... read more read less

Topics:

Knowledge survey (55%)55% related to the paper, Genetic testing (53%)53% related to the paper, Health literacy (51%)51% related to the paper
187 Citations
Journal Article DOI: 10.1089/GTMB.2012.0165
Physicians' Preparedness for Integration of Genomic and Pharmacogenetic Testing into Practice Within a Major Healthcare System
Christina G. Selkirk1, Scott M. Weissman, Andy Anderson, Peter J. Hulick

Abstract:

Purpose: Physicians will play a large role in the delivery of genomic medicine, given the limited number of trained genetics professionals. The objective of this study was to assess physician preparedness for incorporating genomic testing (GT) and pharmacogenetic testing (PT) into practice by determining knowledge, experience... Purpose: Physicians will play a large role in the delivery of genomic medicine, given the limited number of trained genetics professionals. The objective of this study was to assess physician preparedness for incorporating genomic testing (GT) and pharmacogenetic testing (PT) into practice by determining knowledge, experience, comfort level, and barriers, as well as their expectations for practice and educational needs. Methods: A 30-question survey was distributed to physicians spanning all disciplines within our healthcare system. Results: Perceived knowledge was poor; 40%–72% reported “no to minimal knowledge” for all genomics topics. Recent graduates or those with no patients who had undergone GT or PT had lower comfort levels. Participating physicians anticipate usage to increase; however, most were uncertain when and how to incorporate genomics into practice. Physicians perceived lack of knowledge and time to keep updated as their greatest barriers to incorporating GT and PT into practice. Conclusio... read more read less

Topics:

Preparedness (54%)54% related to the paper
116 Citations
open accessOpen access Journal Article DOI: 10.1089/GTMB.2008.0067
Uptake, Time Course, and Predictors of Risk-Reducing Surgeries in BRCA Carriers
Mary S. Beattie1, Beth Crawford, Feng Lin, Eric Vittinghoff, John L. Ziegler

Abstract:

Introduction and Aims: For women who carry BRCA mutations, risk-reducing surgeries are an option to decrease breast and ovarian cancer risk. This study aims to determine the uptake, time course, and predictors of risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO) in BRCA carriers. Results: In 272 fe... Introduction and Aims: For women who carry BRCA mutations, risk-reducing surgeries are an option to decrease breast and ovarian cancer risk. This study aims to determine the uptake, time course, and predictors of risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO) in BRCA carriers. Results: In 272 female carriers, followed for a median of 3.7 years, 23% of those eligible chose RRM, and 51% percent chose RRSO. Among BRCA carriers who chose these procedures, median time to both RRM and RRSO was approximately 4 months after learning of BRCA-positive results. Predictors of RRM were as follows: age below 60 years (hazard ratio 1.8, p = 0.04), prior breast cancer (hazard ratio 2.4, p = 0.0004), and RRSO (hazard ratio 7.2, p < 0.0001). Predictors of RRSO were as follows: age below 60 years (hazard ratio 3.6, p = 0.006), prior breast cancer (hazard ratio 1.8, p = 0.002), and RRM (hazard ratio 5.4, p < 0.0001). Conclusions: Many women who undergo BRCA testing use these results to make cli... read more read less

Topics:

Hazard ratio (58%)58% related to the paper, Breast cancer (51%)51% related to the paper
91 Citations
open accessOpen access Journal Article DOI: 10.1089/GTMB.2011.0324
Relationship Between Leptin G2548A and Leptin Receptor Q223R Gene Polymorphisms and Obesity and Metabolic Syndrome Risk in Tunisian Volunteers

Abstract:

Leptin is a key hormone of weight regulation that modulates food intake. Since the elaboration of the leptin action mechanism, several studies tried to establish the relationship between obesity and the common polymorphisms of leptin (LEP) and leptin receptor (LEPR) genes, but results were controversial. We studied the associ... Leptin is a key hormone of weight regulation that modulates food intake. Since the elaboration of the leptin action mechanism, several studies tried to establish the relationship between obesity and the common polymorphisms of leptin (LEP) and leptin receptor (LEPR) genes, but results were controversial. We studied the association of G2548A of the LEP gene and Q223R of LEPR gene polymorphisms with obesity and metabolic syndrome (MetS). We recruited 169 nonobese volunteers (body mass index [BMI] <30 kg/m2) and 160 obese ones (BMI ≥30 kg/m2). Glucose, insulin, and lipids were measured. BMI, homeostasis model assessment-insulin resistance (HOMA-IR), and daily energy intake were calculated. After adjustment to confounders parameters, 2548AA was found to increase the MetS (p=0.043) and obesity risk (p=0.019) in the studied population. After stratification according to the degree of obesity, the odds ratio [OR] of 2548AA was associated with moderate obesity (p=0.048) and morbid obesity (p=0.048). The LEPR 223RR... read more read less

Topics:

Leptin receptor (69%)69% related to the paper, Leptin (59%)59% related to the paper, Metabolic syndrome (55%)55% related to the paper, Obesity (54%)54% related to the paper, Population (51%)51% related to the paper
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87 Citations
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Frequently asked questions

1. Can I write Genetic Testing and Molecular Biomarkers in LaTeX?

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Yes, the template is compliant with the Genetic Testing and Molecular Biomarkers 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 Genetic Testing and Molecular Biomarkers?

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 Genetic Testing and Molecular Biomarkers citation style.

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5. Can I use a manuscript in Genetic Testing and Molecular Biomarkers 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 Genetic Testing and Molecular Biomarkers that you can download at the end.

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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.

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SciSpace's Genetic Testing and Molecular Biomarkers 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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12. Is Genetic Testing and Molecular Biomarkers'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 Genetic Testing and Molecular Biomarkers?

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 Genetic Testing and Molecular Biomarkers. 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 Genetic Testing and Molecular Biomarkers?

The 5 most common citation types in order of usage for Genetic Testing and Molecular Biomarkers 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 Genetic Testing and Molecular Biomarkers?

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16. Can I download Genetic Testing and Molecular Biomarkers 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 Genetic Testing and Molecular Biomarkers Endnote style according to Elsevier guidelines.

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