Example of ACS Chemical Neuroscience format
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Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format
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Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format Example of ACS Chemical Neuroscience format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

ACS Chemical Neuroscience — Template for authors

Categories Rank Trend in last 3 yrs
Cognitive Neuroscience #20 of 96 up up by 7 ranks
Physiology #37 of 169 up up by 9 ranks
Biochemistry #104 of 415 up up by 6 ranks
Cell Biology #101 of 279 up up by 9 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1514 Published Papers | 9909 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/06/2020
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Related Journals

open access Open Access

Springer

Quality:  
Medium
CiteRatio: 3.3
SJR: 0.761
SNIP: 0.947
open access Open Access
recommended Recommended

American Association for the Advancement of Science

Quality:  
High
CiteRatio: 10.6
SJR: 3.659
SNIP: 1.504
open access Open Access

Springer

Quality:  
High
CiteRatio: 6.8
SJR: 1.329
SNIP: 1.08

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.

4.486

16% from 2018

Impact factor for ACS Chemical Neuroscience from 2016 - 2019
Year Value
2019 4.486
2018 3.861
2017 4.211
2016 3.883
graph view Graph view
table view Table view

6.5

20% from 2019

CiteRatio for ACS Chemical Neuroscience from 2016 - 2020
Year Value
2020 6.5
2019 5.4
2018 5.9
2017 5.9
2016 6.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 16% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 20% 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.

1.158

10% from 2019

SJR for ACS Chemical Neuroscience from 2016 - 2020
Year Value
2020 1.158
2019 1.289
2018 1.305
2017 1.442
2016 1.538
graph view Graph view
table view Table view

1.002

10% from 2019

SNIP for ACS Chemical Neuroscience from 2016 - 2020
Year Value
2020 1.002
2019 1.118
2018 0.964
2017 0.993
2016 0.927
graph view Graph view
table view Table view

insights Insights

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

insights Insights

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

ACS Chemical Neuroscience

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American Chemical Society

ACS Chemical Neuroscience

ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disord...... Read More

Medicine

i
Last updated on
05 Jun 2020
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ISSN
1948-7193
i
Impact Factor
High - 1.097
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
White faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
ACS Custom Citation (achemso)
i
Citation Type
Numbered (Superscripted)
25
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Bibliography Example
Beenakker, C. W. J. Specular Andreev Reflection in Graphene. Phys. Rev. Lett. 2006, 97, 067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1021/ACSCHEMNEURO.0C00122
Evidence of the COVID-19 Virus Targeting the CNS: Tissue Distribution, Host–Virus Interaction, and Proposed Neurotropic Mechanisms
Abdul Mannan Baig1, Areeba Khaleeq1, Usman Ali1, Hira Syeda2

Abstract:

The recent outbreak of coronavirus infectious disease 2019 (COVID-19) has gripped the world with apprehension and has evoked a scare of epic proportion regarding its potential to spread and infect ... The recent outbreak of coronavirus infectious disease 2019 (COVID-19) has gripped the world with apprehension and has evoked a scare of epic proportion regarding its potential to spread and infect ... read more read less

Topics:

Coronavirus (56%)56% related to the paper, Infectious disease (medical specialty) (51%)51% related to the paper, Virus (51%)51% related to the paper
View PDF
1,650 Citations
open accessOpen access Journal Article DOI: 10.1021/CN100008C
Moving beyond Rules: The Development of a Central Nervous System Multiparameter Optimization (CNS MPO) Approach To Enable Alignment of Druglike Properties
Travis T. Wager1, Xinjun Hou1, Patrick Robert Verhoest1, Anabella Villalobos1

Abstract:

The interplay among commonly used physicochemical properties in drug design was examined and utilized to create a prospective design tool focused on the alignment of key druglike attributes. Using a set of six physicochemical parameters ((a) lipophilicity, calculated partition coefficient (ClogP); (b) calculated distribution ... The interplay among commonly used physicochemical properties in drug design was examined and utilized to create a prospective design tool focused on the alignment of key druglike attributes. Using a set of six physicochemical parameters ((a) lipophilicity, calculated partition coefficient (ClogP); (b) calculated distribution coefficient at pH = 7.4 (ClogD); (c) molecular weight (MW); (d) topological polar surface area (TPSA); (e) number of hydrogen bond donors (HBD); (f) most basic center (pKa)), a druglikeness central nervous system multiparameter optimization (CNS MPO) algorithm was built and applied to a set of marketed CNS drugs (N = 119) and Pfizer CNS candidates (N = 108), as well as to a large diversity set of Pfizer proprietary compounds (N = 11 303). The novel CNS MPO algorithm showed that 74% of marketed CNS drugs displayed a high CNS MPO score (MPO desirability score ≥ 4, using a scale of 0−6), in comparison to 60% of the Pfizer CNS candidates. This analysis suggests that this algorithm could p... read more read less

Topics:

Druglikeness (51%)51% related to the paper
713 Citations
open accessOpen access Journal Article DOI: 10.1021/CN200111M
A simple method for quantifying functional selectivity and agonist bias.

Abstract:

Activation of seven-transmembrane (7TM) receptors by agonists does not always lead to uniform activation of all signaling pathways mediated by a given receptor. Relative to other ligands, many agonists are “biased” toward producing subsets of receptor behaviors. A hallmark of such “functional selectivity” is cell type depende... Activation of seven-transmembrane (7TM) receptors by agonists does not always lead to uniform activation of all signaling pathways mediated by a given receptor. Relative to other ligands, many agonists are “biased” toward producing subsets of receptor behaviors. A hallmark of such “functional selectivity” is cell type dependence; this poses a particular problem for the profiling of agonists in whole cell test systems removed from the therapeutic one(s). Such response-specific cell-based variability makes it difficult to guide medicinal chemistry efforts aimed at identifying and optimizing therapeutically meaningful agonist bias. For this reason, we present a scale, based on the Black and Leff operational model, that contains the key elements required to describe 7TM agonism, namely, affinity (KA–1) for the receptor and efficacy (τ) in activating a particular signaling pathway. Utilizing a “transduction coefficient” term, log(τ/KA), this scale can statistically evaluate selective agonist effects in a manne... read more read less

Topics:

Functional selectivity (61%)61% related to the paper, Agonist (59%)59% related to the paper, Receptor theory (57%)57% related to the paper
414 Citations
open accessOpen access Journal Article DOI: 10.1021/CN500256E
Brain Tissue Responses to Neural Implants Impact Signal Sensitivity and Intervention Strategies
Takashi D. Y. Kozai1, Andrea Jaquins-Gerstl1, Alberto L. Vazquez1, Adrian C. Michael1, X. Tracy Cui1

Abstract:

Implantable biosensors are valuable scientific tools for basic neuroscience research and clinical applications. Neurotechnologies provide direct readouts of neurological signal and neurochemical processes. These tools are generally most valuable when performance capacities extend over months and years to facilitate the study ... Implantable biosensors are valuable scientific tools for basic neuroscience research and clinical applications. Neurotechnologies provide direct readouts of neurological signal and neurochemical processes. These tools are generally most valuable when performance capacities extend over months and years to facilitate the study of memory, plasticity, and behavior or to monitor patients’ conditions. These needs have generated a variety of device designs from microelectrodes for fast scan cyclic voltammetry (FSCV) and electrophysiology to microdialysis probes for sampling and detecting various neurochemicals. Regardless of the technology used, the breaching of the blood–brain barrier (BBB) to insert devices triggers a cascade of biochemical pathways resulting in complex molecular and cellular responses to implanted devices. Molecular and cellular changes in the microenvironment surrounding an implant include the introduction of mechanical strain, activation of glial cells, loss of perfusion, secondary metaboli... read more read less

Topics:

Brain implant (52%)52% related to the paper
400 Citations
open accessOpen access Journal Article DOI: 10.1021/CN100007X
Defining Desirable Central Nervous System Drug Space through the Alignment of Molecular Properties, in Vitro ADME, and Safety Attributes

Abstract:

As part of our effort to increase survival of drug candidates and to move our medicinal chemistry design to higher probability space for success in the Neuroscience therapeutic area, we embarked on a detailed study of the property space for a collection of central nervous system (CNS) molecules. We carried out a thorough anal... As part of our effort to increase survival of drug candidates and to move our medicinal chemistry design to higher probability space for success in the Neuroscience therapeutic area, we embarked on a detailed study of the property space for a collection of central nervous system (CNS) molecules. We carried out a thorough analysis of properties for 119 marketed CNS drugs and a set of 108 Pfizer CNS candidates. In particular, we focused on understanding the relationships between physicochemical properties, in vitro ADME (absorption, distribution, metabolism, and elimination) attributes, primary pharmacology binding efficiencies, and in vitro safety data for these two sets of compounds. This scholarship provides guidance for the design of CNS molecules in a property space with increased probability of success and may lead to the identification of druglike candidates with favorable safety profiles that can successfully test hypotheses in the clinic. read more read less
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368 Citations
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With SciSpace, you do not need a word template for ACS Chemical Neuroscience.

It automatically formats your research paper to American Chemical Society formatting guidelines and citation style.

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Time taken to format a paper and Compliance with guidelines

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ACS Chemical Neuroscience format uses ACS Custom Citation (achemso) 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 ACS Chemical Neuroscience in LaTeX?

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

2. Do you follow the ACS Chemical Neuroscience guidelines?

Yes, the template is compliant with the ACS Chemical Neuroscience 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 ACS Chemical Neuroscience?

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 ACS Chemical Neuroscience citation style.

4. Can I use the ACS Chemical Neuroscience 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 ACS Chemical Neuroscience.

5. Can I use a manuscript in ACS Chemical Neuroscience 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 ACS Chemical Neuroscience that you can download at the end.

6. How long does it usually take you to format my papers in ACS Chemical Neuroscience?

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

7. Where can I find the template for the ACS Chemical Neuroscience?

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 ACS Chemical Neuroscience'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 ACS Chemical Neuroscience'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. ACS Chemical Neuroscience an online tool or is there a desktop version?

SciSpace's ACS Chemical Neuroscience 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 ACS Chemical Neuroscience?

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 ACS Chemical Neuroscience?”

11. What is the output that I would get after using ACS Chemical Neuroscience?

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

12. Is ACS Chemical Neuroscience'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 ACS Chemical Neuroscience?

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 ACS Chemical Neuroscience. 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 ACS Chemical Neuroscience?

The 5 most common citation types in order of usage for ACS Chemical Neuroscience 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 ACS Chemical Neuroscience?

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

16. Can I download ACS Chemical Neuroscience 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 ACS Chemical Neuroscience 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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