Example of Science Translational Medicine format
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Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format
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Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format Example of Science Translational Medicine format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

Science Translational Medicine — Template for authors

Categories Rank Trend in last 3 yrs
Medicine (all) #8 of 793 down down by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1488 Published Papers | 27632 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 11/07/2020
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Related Journals

open access Open Access

Taylor and Francis

Quality:  
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CiteRatio: 2.8
SJR: 0.806
SNIP: 1.28
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Springer

Quality:  
High
CiteRatio: 3.1
SJR: 0.859
SNIP: 1.433
open access Open Access

SAGE

Quality:  
High
CiteRatio: 4.5
SJR: 0.914
SNIP: 1.191
open access Open Access
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SAGE

Quality:  
High
CiteRatio: 8.6
SJR: 1.669
SNIP: 1.889

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.

16.304

5% from 2018

Impact factor for Science Translational Medicine from 2016 - 2019
Year Value
2019 16.304
2018 17.161
2017 16.71
2016 16.796
graph view Graph view
table view Table view

18.6

1% from 2019

CiteRatio for Science Translational Medicine from 2016 - 2020
Year Value
2020 18.6
2019 18.8
2018 20.9
2017 24.2
2016 26.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 5% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 1% 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.

6.819

3% from 2019

SJR for Science Translational Medicine from 2016 - 2020
Year Value
2020 6.819
2019 7.03
2018 8.021
2017 9.7
2016 9.264
graph view Graph view
table view Table view

3.342

11% from 2019

SNIP for Science Translational Medicine from 2016 - 2020
Year Value
2020 3.342
2019 3.022
2018 3.085
2017 3.406
2016 3.312
graph view Graph view
table view Table view

insights Insights

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

insights Insights

  • SNIP of this journal has increased by 11% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Science Translational Medicine

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American Association for the Advancement of Science

Science Translational Medicine

Science Translational Medicine publishes original, peer-reviewed, science-based research articles that report successful advances toward the goal of improving patients' lives. The editors and an international advisory group of scientists and clinician-scientists as well as oth...... Read More

Medicine

i
Last updated on
11 Jul 2020
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ISSN
1946-6242
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Acceptance Rate
Not provided
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Frequency
Not provided
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
Science
i
Citation Type
Numbered
(25)
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Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Phys Rev B 25, 4515 (1982).

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1126/SCITRANSLMED.3007094
Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies

Abstract:

The development of noninvasive methods to detect and monitor tumors continues to be a major challenge in oncology. We used digital polymerase chain reaction-based technologies to evaluate the ability of circulating tumor DNA (ctDNA) to detect tumors in 640 patients with various cancer types. We found that ctDNA was detectable... The development of noninvasive methods to detect and monitor tumors continues to be a major challenge in oncology. We used digital polymerase chain reaction-based technologies to evaluate the ability of circulating tumor DNA (ctDNA) to detect tumors in 640 patients with various cancer types. We found that ctDNA was detectable in >75% of patients with advanced pancreatic, ovarian, colorectal, bladder, gastroesophageal, breast, melanoma, hepatocellular, and head and neck cancers, but in less than 50% of primary brain, renal, prostate, or thyroid cancers. In patients with localized tumors, ctDNA was detected in 73, 57, 48, and 50% of patients with colorectal cancer, gastroesophageal cancer, pancreatic cancer, and breast adenocarcinoma, respectively. ctDNA was often present in patients without detectable circulating tumor cells, suggesting that these two biomarkers are distinct entities. In a separate panel of 206 patients with metastatic colorectal cancers, we showed that the sensitivity of ctDNA for detection of clinically relevant KRAS gene mutations was 87.2% and its specificity was 99.2%. Finally, we assessed whether ctDNA could provide clues into the mechanisms underlying resistance to epidermal growth factor receptor blockade in 24 patients who objectively responded to therapy but subsequently relapsed. Twenty-three (96%) of these patients developed one or more mutations in genes involved in the mitogen-activated protein kinase pathway. Together, these data suggest that ctDNA is a broadly applicable, sensitive, and specific biomarker that can be used for a variety of clinical and research purposes in patients with multiple different types of cancer. read more read less

Topics:

Cancer (59%)59% related to the paper, Pancreatic cancer (56%)56% related to the paper, KRAS (54%)54% related to the paper, Circulating tumor cell (53%)53% related to the paper, Colorectal cancer (53%)53% related to the paper
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3,533 Citations
open accessOpen access Journal Article DOI: 10.1126/SCITRANSLMED.3003748
A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β.

Abstract:

Because it lacks a lymphatic circulation, the brain must clear extracellular proteins by an alternative mechanism. The cerebrospinal fluid (CSF) functions as a sink for brain extracellular solutes, but it is not clear how solutes from the brain interstitium move from the parenchyma to the CSF. We demonstrate that a substantia... Because it lacks a lymphatic circulation, the brain must clear extracellular proteins by an alternative mechanism. The cerebrospinal fluid (CSF) functions as a sink for brain extracellular solutes, but it is not clear how solutes from the brain interstitium move from the parenchyma to the CSF. We demonstrate that a substantial portion of subarachnoid CSF cycles through the brain interstitial space. On the basis of in vivo two-photon imaging of small fluorescent tracers, we showed that CSF enters the parenchyma along paravascular spaces that surround penetrating arteries and that brain interstitial fluid is cleared along paravenous drainage pathways. Animals lacking the water channel aquaporin-4 (AQP4) in astrocytes exhibit slowed CSF influx through this system and a ~70% reduction in interstitial solute clearance, suggesting that the bulk fluid flow between these anatomical influx and efflux routes is supported by astrocytic water transport. Fluorescent-tagged amyloid β, a peptide thought to be pathogenic in Alzheimer's disease, was transported along this route, and deletion of the Aqp4 gene suppressed the clearance of soluble amyloid β, suggesting that this pathway may remove amyloid β from the central nervous system. Clearance through paravenous flow may also regulate extracellular levels of proteins involved with neurodegenerative conditions, its impairment perhaps contributing to the mis-accumulation of soluble proteins. read more read less

Topics:

Glymphatic system (67%)67% related to the paper, Interstitial fluid (55%)55% related to the paper, Perivascular space (54%)54% related to the paper, Cerebrospinal fluid (53%)53% related to the paper, Water transport (53%)53% related to the paper
View PDF
3,368 Citations
Journal Article DOI: 10.1126/SCITRANSLMED.3004404
Hidden Killers: Human Fungal Infections

Abstract:

Although fungal infections contribute substantially to human morbidity and mortality, the impact of these diseases on human health is not widely appreciated. Moreover, despite the urgent need for efficient diagnostic tests and safe and effective new drugs and vaccines, research into the pathophysiology of human fungal infecti... Although fungal infections contribute substantially to human morbidity and mortality, the impact of these diseases on human health is not widely appreciated. Moreover, despite the urgent need for efficient diagnostic tests and safe and effective new drugs and vaccines, research into the pathophysiology of human fungal infections lags behind that of diseases caused by other pathogens. In this Review, we highlight the importance of fungi as human pathogens and discuss the challenges we face in combating the devastating invasive infections caused by these microorganisms, in particular in immunocompromised individuals. read more read less

Topics:

Human morbidity (60%)60% related to the paper, Candidalysin (53%)53% related to the paper
View PDF
3,125 Citations
open accessOpen access Journal Article DOI: 10.1126/SCITRANSLMED.3002003
Genotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors

Abstract:

Lung cancers harboring mutations in the epidermal growth factor receptor (EGFR) respond to EGFR tyrosine kinase inhibitors, but drug resistance invariably emerges. To elucidate mechanisms of acquired drug resistance, we performed systematic genetic and histological analyses of tumor biopsies from 37 patients with drug-resista... Lung cancers harboring mutations in the epidermal growth factor receptor (EGFR) respond to EGFR tyrosine kinase inhibitors, but drug resistance invariably emerges. To elucidate mechanisms of acquired drug resistance, we performed systematic genetic and histological analyses of tumor biopsies from 37 patients with drug-resistant non–small cell lung cancers (NSCLCs) carrying EGFR mutations. All drug-resistant tumors retained their original activating EGFR mutations, and some acquired known mechanisms of resistance including the EGFR T790M mutation or MET gene amplification. Some resistant cancers showed unexpected genetic changes including EGFR amplification and mutations in the PIK3CA gene, whereas others underwent a pronounced epithelial-to-mesenchymal transition. Surprisingly, five resistant tumors (14%) transformed from NSCLC into small cell lung cancer (SCLC) and were sensitive to standard SCLC treatments. In three patients, serial biopsies revealed that genetic mechanisms of resistance were lost in the absence of the continued selective pressure of EGFR inhibitor treatment, and such cancers were sensitive to a second round of treatment with EGFR inhibitors. Collectively, these results deepen our understanding of resistance to EGFR inhibitors and underscore the importance of repeatedly assessing cancers throughout the course of the disease. read more read less

Topics:

Gefitinib (66%)66% related to the paper, EGFR Activating Mutation (63%)63% related to the paper, Dacomitinib (58%)58% related to the paper, EGFR inhibitors (58%)58% related to the paper, T790M (57%)57% related to the paper
2,972 Citations
open accessOpen access Journal Article DOI: 10.1126/SCITRANSLMED.3000322
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice

Abstract:

Diet and nutritional status are among the most important modifiable determinants of human health. The nutritional value of food is influenced in part by a person's gut microbial community (microbiota) and its component genes (microbiome). Unraveling the interrelations among diet, the structure and operations of the gut microb... Diet and nutritional status are among the most important modifiable determinants of human health. The nutritional value of food is influenced in part by a person's gut microbial community (microbiota) and its component genes (microbiome). Unraveling the interrelations among diet, the structure and operations of the gut microbiota, and nutrient and energy harvest is confounded by variations in human environmental exposures, microbial ecology, and genotype. To help overcome these problems, we created a well-defined, representative animal model of the human gut ecosystem by transplanting fresh or frozen adult human fecal microbial communities into germ-free C57BL/6J mice. Culture-independent metagenomic analysis of the temporal, spatial, and intergenerational patterns of bacterial colonization showed that these humanized mice were stably and heritably colonized and reproduced much of the bacterial diversity of the donor's microbiota. Switching from a low-fat, plant polysaccharide-rich diet to a high-fat, high-sugar "Western" diet shifted the structure of the microbiota within a single day, changed the representation of metabolic pathways in the microbiome, and altered microbiome gene expression. Reciprocal transplants involving various combinations of donor and recipient diets revealed that colonization history influences the initial structure of the microbial community but that these effects can be rapidly altered by diet. Humanized mice fed the Western diet have increased adiposity; this trait is transmissible via microbiota transplantation. Humanized gnotobiotic mice will be useful for conducting proof-of-principle "clinical trials" that test the effects of environmental and genetic factors on the gut microbiota and host physiology. Nearly full-length 16S rRNA gene sequences are deposited in GenBank under the accession numbers GQ491120 to GQ493997. read more read less

Topics:

Microbiome (62%)62% related to the paper, Gut flora (57%)57% related to the paper, Transplantation (52%)52% related to the paper
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2,709 Citations
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With SciSpace, you do not need a word template for Science Translational Medicine.

It automatically formats your research paper to American Association for the Advancement of Science formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

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Science Translational Medicine format uses Science 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 Science Translational Medicine in LaTeX?

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

2. Do you follow the Science Translational Medicine guidelines?

Yes, the template is compliant with the Science Translational Medicine 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 Science Translational Medicine?

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 Science Translational Medicine citation style.

4. Can I use the Science Translational Medicine 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 Science Translational Medicine.

5. Can I use a manuscript in Science Translational Medicine 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 Science Translational Medicine that you can download at the end.

6. How long does it usually take you to format my papers in Science Translational Medicine?

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

7. Where can I find the template for the Science Translational Medicine?

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 Science Translational Medicine'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 Science Translational Medicine'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. Science Translational Medicine an online tool or is there a desktop version?

SciSpace's Science Translational Medicine 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 Science Translational Medicine?

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 Science Translational Medicine?”

11. What is the output that I would get after using Science Translational Medicine?

After writing your paper autoformatting in Science Translational Medicine, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Science Translational Medicine'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 Science Translational Medicine?

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 Science Translational Medicine. 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 Science Translational Medicine?

The 5 most common citation types in order of usage for Science Translational Medicine 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 Science Translational Medicine?

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

16. Can I download Science Translational Medicine 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 Science Translational Medicine 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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