Example of Bio-Algorithms and Med-Systems format
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open access Open Access

Bio-Algorithms and Med-Systems — Template for authors

Publisher: De Gruyter
Categories Rank Trend in last 3 yrs
Biochemistry, Genetics and Molecular Biology (miscellaneous) #35 of 46 down down by 21 ranks
Medicine (miscellaneous) #188 of 238 down down by 57 ranks
Computer Science (all) #185 of 226 down down by 90 ranks
Health Informatics #82 of 95 down down by 41 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 81 Published Papers | 60 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 10/06/2020
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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.

0.7

17% from 2019

CiteRatio for Bio-Algorithms and Med-Systems from 2016 - 2020
Year Value
2020 0.7
2019 0.6
2018 0.7
2017 1.4
2016 2.1
graph view Graph view
table view Table view

0.151

14% from 2019

SJR for Bio-Algorithms and Med-Systems from 2016 - 2020
Year Value
2020 0.151
2019 0.132
2018 0.129
2017 0.16
2016 0.227
graph view Graph view
table view Table view

0.349

155% from 2019

SNIP for Bio-Algorithms and Med-Systems from 2016 - 2020
Year Value
2020 0.349
2019 0.137
2018 0.324
2017 0.214
2016 0.493
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 17% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 14% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 155% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Bio-Algorithms and Med-Systems

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De Gruyter

Bio-Algorithms and Med-Systems

The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that...... Read More

Medicine

i
Last updated on
10 Jun 2020
i
ISSN
1895-9091
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. Specular andreev reflection in graphene. Phys. Rev. Lett., 97(6):067007, 2006.

Top papers written in this journal

Journal Article DOI: 10.1515/BAMS-2015-0021
Neural networks as a tool for modeling of biological systems
Ryszard Tadeusiewicz1

Abstract:

Abstract Neural networks become very popular as a tool for modeling of numerous systems, including technological, economical, sociological, psychological, and even political ones. On the contrary, neural networks are models of neural structures and neural processes observed in a real brain. However, for modeling of real neura... Abstract Neural networks become very popular as a tool for modeling of numerous systems, including technological, economical, sociological, psychological, and even political ones. On the contrary, neural networks are models of neural structures and neural processes observed in a real brain. However, for modeling of real neural structures and real neural processes occurring in a living brain, neural networks are too simplified and too primitive. Nevertheless, neural networks can be used for modeling the behavior of many biological systems and structures. Such models are not useful for explanation, taking into account the biological systems and processes, but can be very useful for the analysis of such system behavior, including the prognosis of future results of selected activities (e.g. the prognosis of results of different therapies for modeled illnesses). In this paper, selected examples of such models and their applications are presented. read more read less

Topics:

Nervous system network models (71%)71% related to the paper, Artificial neural network (58%)58% related to the paper
42 Citations
open accessOpen access Journal Article
Novel detector systems for the positron emission tomography
Paweł Moskal1, Piotr Salabura1, Michał Silarski1, Jerzy Smyrski1, Jarosław Zdebik1, Marcin Zieliński1

Abstract:

In this contribution we describe a novel solution for the construction of Positron Emission Tomograph. We present the device allowing for determination of the impact position as well as time and depth of interaction of the annihilation gamma quanta. The device is comprised of scintillation chamber consisting of organic scinti... In this contribution we describe a novel solution for the construction of Positron Emission Tomograph. We present the device allowing for determination of the impact position as well as time and depth of interaction of the annihilation gamma quanta. The device is comprised of scintillation chamber consisting of organic scintillators surrounding the body of the patient. We discuss two possible solutions: (i) the tomograph built out of scintillator strips, and (ii) the tomograph built out of the scintillator plates. The application of the fast scintillators will enable to take advantage of the difference between time of the registration of the annihilation quanta. The invented method will permit to use a thick layers of detector material with the possibility of measuring the depth of the gamma quantum interaction (DOI) and the determination of their time of fl ight (TOF), and will allow for increasing the size of the diagnostic chamber without a signifi cant increase of costs. The method is a subject of two patent applications (1, 2) which are based on the techniques used in the particle physics experiments (3, 4). read more read less

Topics:

Scintillator (52%)52% related to the paper, Scintillation (52%)52% related to the paper
40 Citations
open accessOpen access Journal Article DOI: 10.1515/BAMS-2013-0104
A novel method based solely on field programmable gate array (FPGA) units enabling measurement of time and charge of analog signals in positron emission tomography (PET)

Abstract:

This article presents an application of a novel technique for precise measurements of time and charge based solely on a field programmable gate array (FPGA) device for positron emission tomography (PET). The described approach simplifies electronic circuits, reduces the power consumption, lowers costs, merges front-end electr... This article presents an application of a novel technique for precise measurements of time and charge based solely on a field programmable gate array (FPGA) device for positron emission tomography (PET). The described approach simplifies electronic circuits, reduces the power consumption, lowers costs, merges front-end electronics with digital electronics, and also makes more compact final design. Furthermore, it allows to measure time when analog signals cross a reference voltage at dif- ferent threshold levels with a very high precision of ~15 ps (rms) and thus enables sampling of signals in a voltage domain. read more read less

Topics:

Analog signal (56%)56% related to the paper, Digital electronics (53%)53% related to the paper, Voltage reference (52%)52% related to the paper, Field-programmable gate array (52%)52% related to the paper, Electronic circuit (51%)51% related to the paper
39 Citations
open accessOpen access Journal Article
Transfer of manual dexterity skills acquired in the Simodont, a dental haptic trainer with a virtual environment, to reality: a pilot study

Abstract:

The goal of dental education is to guide students’ development through different stages from novice to competent, eventually resulting in an expert clinician. Students traditionally devote several years to the acquisition of sufficiently fine manual skills to prepare them for entry-level dental practice. In the current simula... The goal of dental education is to guide students’ development through different stages from novice to competent, eventually resulting in an expert clinician. Students traditionally devote several years to the acquisition of sufficiently fine manual skills to prepare them for entry-level dental practice. In the current simulation laboratory, training is restricted to non realistic procedures using phantom heads, often on plastic teeth. Dental education, of all the health professional schools, is the discipline that could benefit the most from virtual reality since a significant proportion of preclinical dental education is dedicated to teaching psychomotor skills (1, 2, 3). A simulator, Simodont, (Moog, Nieuw Vennep, the Netherlands and ACTA, Academic Centre of Dentistry Amsterdam, Amsterdam, The Netherlands) consisting of a force feedback robot arm connected to software in such a way that every movement of the arm is visualized on a screen, has been developed to replace the traditional lab conditions by a realistic virtual learning environment (Figs. 1 and 2) The haptics are based on the Moog patented admittance control paradigm for the HapticMaster (4, 5).The simulator TRANSFER OF MANUAL DEXTERITY SKILLS ACQUIRED ON THE SIMODONT, A DENTAL HAPTIC TRAINER WITH A VIRTUAL ENVIRONMENT, TO REALITY. A PILOT STUDY read more read less

Topics:

Moog (51%)51% related to the paper, Haptic technology (50%)50% related to the paper
View PDF
27 Citations
Journal Article DOI: 10.1515/BAMS-2013-0115
Trigger-less and reconfigurable data acquisition system for positron emission tomography

Abstract:

This article is focused on data acquisition sys- tem (DAQ) designed especially to be used in positron emission tomography (PET) or single-photon emission computed tomography. The system allows for continuous registration of analog signals during measurement. It has been designed to optimize registration and processing of the ... This article is focused on data acquisition sys- tem (DAQ) designed especially to be used in positron emission tomography (PET) or single-photon emission computed tomography. The system allows for continuous registration of analog signals during measurement. It has been designed to optimize registration and processing of the information carried by signals from the detector sys- tem in PET scanner. The processing does not require any rejection of data with a trigger system. The proposed sys- tem possesses also an ability to implement various data analysis algorithms that can be performed in real time during data collection. read more read less

Topics:

Emission computed tomography (63%)63% related to the paper, Data acquisition (60%)60% related to the paper, Positron emission tomography (52%)52% related to the paper
24 Citations
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Frequently asked questions

1. Can I write Bio-Algorithms and Med-Systems in LaTeX?

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

2. Do you follow the Bio-Algorithms and Med-Systems guidelines?

Yes, the template is compliant with the Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems?

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 Bio-Algorithms and Med-Systems citation style.

4. Can I use the Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems.

5. Can I use a manuscript in Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems'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 Bio-Algorithms and Med-Systems?

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 Bio-Algorithms and Med-Systems. 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 Bio-Algorithms and Med-Systems?

The 5 most common citation types in order of usage for Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems?

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 Bio-Algorithms and Med-Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Bio-Algorithms and Med-Systems 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 Bio-Algorithms and Med-Systems 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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