Example of Current Proteomics format
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Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format
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Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format Example of Current Proteomics format
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Current Proteomics — Template for authors

Publisher: Bentham Science
Categories Rank Trend in last 3 yrs
Biochemistry #347 of 415 up up by 14 ranks
Molecular Biology #341 of 382 up up by 6 ranks
journal-quality-icon Journal quality:
Low
calendar-icon Last 4 years overview: 155 Published Papers | 235 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Related Journals

open access Open Access
recommended Recommended

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Quality:  
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CiteRatio: 13.9
SJR: 4.634
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Oxford University Press

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American Association for the Advancement of Science

Quality:  
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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.

0.68

11% from 2018

Impact factor for Current Proteomics from 2016 - 2019
Year Value
2019 0.68
2018 0.768
2017 0.606
2016 0.59
graph view Graph view
table view Table view

1.5

7% from 2019

CiteRatio for Current Proteomics from 2016 - 2020
Year Value
2020 1.5
2019 1.4
2018 0.9
2017 1.0
2016 1.3
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 11% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 7% 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.

0.213

9% from 2019

SJR for Current Proteomics from 2016 - 2020
Year Value
2020 0.213
2019 0.234
2018 0.212
2017 0.195
2016 0.28
graph view Graph view
table view Table view

0.313

13% from 2019

SNIP for Current Proteomics from 2016 - 2020
Year Value
2020 0.313
2019 0.361
2018 0.259
2017 0.25
2016 0.306
graph view Graph view
table view Table view

insights Insights

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

insights Insights

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

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Bentham Science

Current Proteomics

Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteom...... Read More

Biochemistry

Molecular Biology

Biochemistry, Genetics and Molecular Biology

i
Last updated on
13 Jul 2020
i
ISSN
1570-1646
i
Impact Factor
Low - 0.098
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
Vancouver
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder, G E, Tinkham, M, & Klapwijk, T M. Transition from metallic to tunnel- ing regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B. 2013;87(10):100510.

Top papers written in this journal

Journal Article DOI: 10.2174/157016409789973707
Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology
30 Nov 2009 - Current Proteomics

Abstract:

With the avalanche of protein sequences generated in the post-genomic age, it is highly desired to develop automated methods for efficiently identifying various attributes of uncharacterized proteins. This is one of the most im- portant tasks facing us today in bioinformatics, and the information thus obtained will have impor... With the avalanche of protein sequences generated in the post-genomic age, it is highly desired to develop automated methods for efficiently identifying various attributes of uncharacterized proteins. This is one of the most im- portant tasks facing us today in bioinformatics, and the information thus obtained will have important impacts on the de- velopment of proteomics and system biology. To realize that, one of the keys is to find an effective model to represent the sample of a protein. The most straightforward model in this regard is its entire amino acid sequence; however, the entire sequence model would fail to work when the query protein did not have significant homology to proteins of known char- acteristics. Thus, various non-sequential models or discrete models were proposed. The simplest discrete model is the amino acid (AA) composition. Using it to represent a protein, however, all the sequence-order information would be com- pletely lost. To cope with such a dilemma, the concept of pseudo amino acid (PseAA) composition was introduced. Its es- sence is to keep using a discrete model to represent a protein yet without completely losing its sequence-order informa- tion. Therefore, in a broad sense, the PseAA composition of a protein is actually a set of discrete numbers that is de- rived from its amino acid sequence and that is different from the classical AA composition and able to harbour some sort of sequence order or pattern information. Ever since the first PseAA composition was formulated to predict protein sub- cellular localization and membrane protein types, it has stimulated many different modes of PseAA composition for studying various kinds of problems in proteins and proteins-related systems. In this review, we shall give a brief and sys- tematic introduction of various modes of PseAA composition and their applications. Meanwhile, the challenges for find- ing the optimal PseAA composition are also briefly discussed. read more read less

Topics:

Pseudo amino acid composition (68%)68% related to the paper, Cellular localization (54%)54% related to the paper
411 Citations
Journal Article DOI: 10.2174/157016461302160514000940
Protein Folds Prediction with Hierarchical Structured SVM
Dapeng Li, Ying Ju, Quan Zou
31 May 2016 - Current Proteomics

Topics:

Structured support vector machine (57%)57% related to the paper
112 Citations
Journal Article DOI: 10.2174/157016408785909622
Recent Advances in Controlled Immobilization of Proteins onto the Surface of the Solid Substrate and Its Possible Application to Proteomics
Kazuhiro Nakanishi1, Takaharu Sakiyama2, Yoichi Kumada3, Koreyoshi Imamura, Hiroyuki Imanaka
30 Sep 2008 - Current Proteomics

Abstract:

Proteome analysis plays a key role in the elucidation of the functions and applications for numerous proteins. For proteome analyses, various microplate- and microarray-based techniques have been developed by a number of re- searchers. Their intent was to immobilize proteins on the surface of a solid substrate in a site-direc... Proteome analysis plays a key role in the elucidation of the functions and applications for numerous proteins. For proteome analyses, various microplate- and microarray-based techniques have been developed by a number of re- searchers. Their intent was to immobilize proteins on the surface of a solid substrate in a site-directed manner while re- taining structure and native biological function. In this review, we focus on recent advances in immobilization methodol- ogy for proteins/enzymes on a surface, including those using the affinity peptides screened by random peptide library sys- tems. We also discuss applications of the affinity peptide-mediated immobilization method in fields related to proteome analysis, particularly our recent work concerning immunoassay and protein-protein interaction analysis. read more read less

Topics:

Proteome (54%)54% related to the paper, Proteomics (51%)51% related to the paper
107 Citations
Journal Article DOI: 10.2174/157016407781387357
Application of Proteomics to Investigate Plant-Microbe Interactions
31 Mar 2007 - Current Proteomics

Abstract:

With the completion of genome projects for Arabidopsis thaliana, Oryza sativa and several other plant species, an increasing number of whole genome sequences are now available for plants. In this post-genomic era, a more thorough understanding of gene expression and function can be achieved through the characterization of the... With the completion of genome projects for Arabidopsis thaliana, Oryza sativa and several other plant species, an increasing number of whole genome sequences are now available for plants. In this post-genomic era, a more thorough understanding of gene expression and function can be achieved through the characterization of the products of expression, the proteins, which are essential biological determinants of plant phenotypes. Proteomics offers a continually evolving set of novel techniques to study all facets of protein structure and function. The application of proteomics in plant pathology is becoming more commonplace with techniques such as two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS) being used to characterize cellular and extracellular virulence and pathogenicity factors produced by pathogens as well as to identify changes in protein levels in plant hosts upon infection by pathogenic organisms and symbiotic counterparts. This review article summarizes the current status of geland non gel-based proteomic techniques and describes the significant discoveries that have resulted from the various proteome-level investigations into phytopathogenic microorganisms and plant host-microbe interactions. read more read less

Topics:

Proteomics (51%)51% related to the paper
59 Citations
Journal Article DOI: 10.2174/15701646112098880001
BinMemPredict: a Web Server and Software for Predicting Membrane Protein Types
Quan Zou, Xubin Li, Yi Jiang, Yuming Zhao, Guohua Wang
31 Mar 2013 - Current Proteomics

Topics:

Web server (74%)74% related to the paper
57 Citations
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Time taken to format a paper and Compliance with guidelines

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Current Proteomics format uses Vancouver citation style.

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Frequently asked questions

1. Can I write Current Proteomics in LaTeX?

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

2. Do you follow the Current Proteomics guidelines?

Yes, the template is compliant with the Current Proteomics 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 Current Proteomics?

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 Current Proteomics citation style.

4. Can I use the Current Proteomics 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 Current Proteomics.

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

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

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

7. Where can I find the template for the Current Proteomics?

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

SciSpace's Current Proteomics 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 Current Proteomics?

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 Current Proteomics?”

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

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

12. Is Current Proteomics'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 Current Proteomics?

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 Current Proteomics. 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 Current Proteomics?

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

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

16. Can I download Current Proteomics 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 Current Proteomics 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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