Example of Molecular Imaging and Biology format
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Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format Example of Molecular Imaging and Biology format
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open access Open Access

Molecular Imaging and Biology — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Radiology, Nuclear Medicine and Imaging #57 of 288 down down by 26 ranks
Oncology #131 of 340 down down by 38 ranks
Cancer Research #113 of 207 down down by 30 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 504 Published Papers | 2426 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 03/06/2020
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Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.0
SJR: 1.761
SNIP: 1.631
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Nature

Quality:  
High
CiteRatio: 16.0
SJR: 4.539
SNIP: 2.28
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American Association for Cancer Research

Quality:  
High
CiteRatio: 15.8
SJR: 4.103
SNIP: 1.983
open access Open Access
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American Association for Cancer Research

Quality:  
High
CiteRatio: 18.2
SJR: 5.427
SNIP: 2.243

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.

2.925

12% from 2018

Impact factor for Molecular Imaging and Biology from 2016 - 2019
Year Value
2019 2.925
2018 3.341
2017 3.608
2016 3.466
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4.8

11% from 2019

CiteRatio for Molecular Imaging and Biology from 2016 - 2020
Year Value
2020 4.8
2019 5.4
2018 6.0
2017 5.6
2016 5.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 12% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 11% 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.

0.846

6% from 2019

SJR for Molecular Imaging and Biology from 2016 - 2020
Year Value
2020 0.846
2019 0.904
2018 1.175
2017 1.142
2016 1.0
graph view Graph view
table view Table view

0.815

3% from 2019

SNIP for Molecular Imaging and Biology from 2016 - 2020
Year Value
2020 0.815
2019 0.838
2018 0.928
2017 0.817
2016 0.795
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 6% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 3% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Molecular Imaging and Biology

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Springer

Molecular Imaging and Biology

Approved by publishing and review experts on SciSpace, this template is built as per for Molecular Imaging and Biology formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 312 authors to write and format their manuscripts to this journal.

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Last updated on
03 Jun 2020
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ISSN
1860-2002
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Open Access
Hybrid
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Citation Type
Author Year
(Blonder et al, 1982)
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Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1016/S1095-0397(99)00016-3
Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis.

Abstract:

“Functional” tumor treatment response parameters have been developed to measure treatment induced biochemical changes in the entire tumor mass, using positron emission tomography (PET) and [F-18] fludeoxyglucose (FDG). These new parameters are intended to measure global changes in tumor glycolysis. The response parameters are... “Functional” tumor treatment response parameters have been developed to measure treatment induced biochemical changes in the entire tumor mass, using positron emission tomography (PET) and [F-18] fludeoxyglucose (FDG). These new parameters are intended to measure global changes in tumor glycolysis. The response parameters are determined by comparing the pre- and posttreatment PET-FDG images either visually from the change in image appearance in the region of the tumor, or quantitatively based on features of the calibrated digital PET image. The visually assessed parameters are expressed as a visual response score (VRS), or visual response index (VRI), as the estimated percent response of the tumor. Visual Response Score (VRS) is recorded on a 5 point response scale (0–4): 0: no response or progression; 1: 1–33%; 2: >33%–66%; 3: >66%–99%; and 4: >99%, estimated response, respectively. The quantitative changes are expressed as total lesion glycolysis TLG or as the change in TLG during treatment, also called δTLG or Larson-Ginsberg Index (LGI), expressed as percent response. The volume of the lesion is determined from the PET-FDG images by an adaptive thresholding technique. This response index is computed as, δTLG (LGI) = {[(SUVave)1 * (Vol)1 – (SUVave)2 * (Vol)2]/[(SUVave)1 * (Vol)1]} * 100. Where “1” and “2” denote the pre- and posttreatment PET-FDG, scans respectively. Pre- and posttreatment PET-FDG scans were performed on a group of 41 locally advanced lung (2), rectal (17), esophageal (16) and gastric (6) cancers. These patients were treated before surgery with neoadjuvant chemo-radiation. Four experienced PET readers determined individual VRS and VRI blinded to each other as well as to the clinical history. Consensus VRS was obtained based on a discussion. The interobserver variability captured by intraclass correlation coefficient was 89.7%. In addition, reader reliability was assessed for the categorized VRS using Kendall's coefficient of concordance for ordinal data and was found to be equal to 85% This provided assurance that these response parameters were highly reproducible. The correlation of δTLG with % change in SUVave and % change in SUVmax, as widely used parameters of response, were 0.73 and 0.78 (P read more read less
525 Citations
Journal Article DOI: 10.1016/J.MIBIO.2003.09.014
Determination of lipophilicity and its use as a predictor of blood–brain barrier penetration of molecular imaging agents
Rikki N. Waterhouse1

Abstract:

Compound lipophilicity is a fundamental physicochemical property that plays a pivotal role in the absorption, distribution, metabolism, and elimination (ADME) of therapeutic drugs. Lipophilicity is expressed in several different ways, including terms such as Log P, clogP, delta Log P, and Log D. Often a parabolic relationship... Compound lipophilicity is a fundamental physicochemical property that plays a pivotal role in the absorption, distribution, metabolism, and elimination (ADME) of therapeutic drugs. Lipophilicity is expressed in several different ways, including terms such as Log P, clogP, delta Log P, and Log D. Often a parabolic relationship exists between measured lipophilicity and in vivo brain penetration of drugs, where those moderate in lipophilicity often exhibit highest uptake. Reduced brain extraction of more lipophilic compounds is associated with increased non-specific binding to plasma proteins. More lipophilic compounds can also be more vulnerable to P450 metabolism, leading to faster clearance. Very polar compounds normally exhibit high water solubility, fast clearance through the kidneys, and often contain ionizable functional groups that limit blood–brain barrier (BBB) penetration. The brain penetration and specific to non-specific binding ratios exhibited in vivo by positron emission tomography (PET) and single photon emission computed tomography (SPECT) radiotracers involves a complex interplay between many critical factors, including lipophilicity, receptor affinity, metabolism, molecular size and shape, ionization potential, and specific binding to BBB efflux pumps or binding sites on albumin or other plasma proteins. This paper explores situations in which lipophilicity is a good predictor of BBB penetration, as well as those where this correlation is poor. The more commonly used methods for measuring lipophilicity are presented, and the various terms often found in the literature outlined. An attempt is made to describe how this information can be used in optimizing the development of PET and SPECT tracers that target the central nervous system (CNS). read more read less

Topics:

Lipophilicity (57%)57% related to the paper
488 Citations
Journal Article DOI: 10.1016/J.MIBIO.2004.03.002
Development of a 4-D digital mouse phantom for molecular imaging research.
William P. Segars1, Benjamin M. W. Tsui1, Eric C. Frey1, G. Allan Johnson1, Stuart S. Berr1

Abstract:

Purpose We develop a realistic and flexible 4-D digital mouse phantom and investigate its usefulness in molecular imaging research. Methods Organ shapes were modeled with non-uniform rational B-spline (NURBS) surfaces based on high-resolution 3-D magnetic resonance microscopy (MRM) data. Cardiac and respiratory motions were m... Purpose We develop a realistic and flexible 4-D digital mouse phantom and investigate its usefulness in molecular imaging research. Methods Organ shapes were modeled with non-uniform rational B-spline (NURBS) surfaces based on high-resolution 3-D magnetic resonance microscopy (MRM) data. Cardiac and respiratory motions were modeled based on gated magnetic resonance imaging (MRI) data obtained from normal mice. Pilot simulation studies in single-photon emission computed tomography (SPECT) and X-ray computed tomography (CT) were performed to demonstrate the utility of the phantom. Results NURBS are an efficient and flexible way to accurately model the anatomy and cardiac and respiratory motions for a realistic 4-D digital mouse phantom. The phantom is capable of producing realistic molecular imaging data from which imaging devices and techniques can be evaluated. Conclusion The phantom provides a unique and useful tool in molecular imaging research. It can be used in the development of new imaging instrumentation, image acquisition strategies, and image processing and reconstruction methods. read more read less

Topics:

Imaging phantom (70%)70% related to the paper, Single-photon emission computed tomography (53%)53% related to the paper, Magnetic resonance microscopy (53%)53% related to the paper, Molecular imaging (51%)51% related to the paper, Image processing (51%)51% related to the paper
438 Citations
open accessOpen access Journal Article DOI: 10.1007/S11307-015-0850-8
Initial Evaluation of [18F]DCFPyL for Prostate-Specific Membrane Antigen (PSMA)-Targeted PET Imaging of Prostate Cancer

Abstract:

Purpose Prostate-specific membrane antigen (PSMA) is a recognized target for imaging prostate cancer. Here we present initial safety, biodistribution, and radiation dosimetry results with [18F]DCFPyL, a second-generation fluorine-18-labeled small-molecule PSMA inhibitor, in patients with prostate cancer. Purpose Prostate-specific membrane antigen (PSMA) is a recognized target for imaging prostate cancer. Here we present initial safety, biodistribution, and radiation dosimetry results with [18F]DCFPyL, a second-generation fluorine-18-labeled small-molecule PSMA inhibitor, in patients with prostate cancer. read more read less

Topics:

Prostate cancer (60%)60% related to the paper, Prostate (55%)55% related to the paper
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351 Citations
Journal Article DOI: 10.1016/J.MIBIO.2004.06.002
Bioconjugated gold nanoparticles as a molecular based contrast agent: implications for imaging of deep tumors using optoacoustic tomography

Abstract:

Purpose Optoacoustic tomography (OAT) is a novel medical imaging method that uses optical illumination and ultrasonic detection to produce deep tissue images based on their light absorption. Abnormal angiogenesis in advanced tumors, that increases the blood content of the tumor, is an endogenous contrast agent for OAT. In ear... Purpose Optoacoustic tomography (OAT) is a novel medical imaging method that uses optical illumination and ultrasonic detection to produce deep tissue images based on their light absorption. Abnormal angiogenesis in advanced tumors, that increases the blood content of the tumor, is an endogenous contrast agent for OAT. In early stages, however, angiogenesis is not sufficient to differentiate a tumor from normal tissue; justifying the application of an exogenous contrast agent. We have developed a molecular based contrast agent composed of gold nanoparticles conjugated to a monoclonal antibody that improves OAT imaging to potentiate its use in imaging deep tumors in early stages of cancer or metastatic lesions. Procedure Due to their strong optoacoustic signal, we used gold nanoparticles (NPs) as a contrast agent. To target NPs to breast cancer cells, we conjugated NPs to a monoclonal antibody that specifically binds cell surface receptors known to be overexpressed in human breast tumors. Results In a series of in vitro experiments, Herceptin® (monoclonal antibody that binds HER2/neu) conjugated to 40nm NPs (Mab/NPs) selectively targeted human SK-BR-3 breast cancer cells. The breast cancer cells were detected and imaged by OAT in a gelatin phantom that optically resembled breast tissue. Sensitivity experiments showed that a concentration as low as 10 9 NPs per ml were detectable at a depth of 6 cm. Conclusion Experimental data together with theoretical analysis demonstrate the feasibility of detection of deeply seeded small tumors that express tumor associated antigens using targeted gold NPs and OAT. read more read less
325 Citations
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Frequently asked questions

1. Can I write Molecular Imaging and Biology in LaTeX?

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

2. Do you follow the Molecular Imaging and Biology guidelines?

Yes, the template is compliant with the Molecular Imaging and Biology 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 Molecular Imaging and Biology?

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 Molecular Imaging and Biology citation style.

4. Can I use the Molecular Imaging and Biology 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 Molecular Imaging and Biology.

5. Can I use a manuscript in Molecular Imaging and Biology 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 Molecular Imaging and Biology that you can download at the end.

6. How long does it usually take you to format my papers in Molecular Imaging and Biology?

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

7. Where can I find the template for the Molecular Imaging and Biology?

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 Molecular Imaging and Biology'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 Molecular Imaging and Biology'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. Molecular Imaging and Biology an online tool or is there a desktop version?

SciSpace's Molecular Imaging and Biology 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 Molecular Imaging and Biology?

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 Molecular Imaging and Biology?”

11. What is the output that I would get after using Molecular Imaging and Biology?

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

12. Is Molecular Imaging and Biology'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 Molecular Imaging and Biology?

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 Molecular Imaging and Biology. 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 Molecular Imaging and Biology?

The 5 most common citation types in order of usage for Molecular Imaging and Biology 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 Molecular Imaging and Biology?

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

16. Can I download Molecular Imaging and Biology 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 Molecular Imaging and Biology 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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