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Dove Medical Press

A review of soft-tissue sarcomas: translation of biological advances into treatment measures

Overview of attention for article published in Cancer Management and Research, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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8 X users
facebook
1 Facebook page

Citations

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100 Dimensions

Readers on

mendeley
203 Mendeley
Title
A review of soft-tissue sarcomas: translation of biological advances into treatment measures
Published in
Cancer Management and Research, May 2018
DOI 10.2147/cmar.s159641
Pubmed ID
Authors

Ngoc T Hoang, Luis A Acevedo, Michael J Mann, Bhairavi Tolani

Abstract

Soft-tissue sarcomas are rare malignant tumors arising from connective tissues and have an overall incidence of about five per 100,000 per year. While this diverse family of malignancies comprises over 100 histological subtypes and many molecular aberrations are prevalent within specific sarcomas, very few are therapeutically targeted. Instead of utilizing molecular signatures, first-line sarcoma treatment options are still limited to traditional surgery and chemotherapy, and many of the latter remain largely ineffective and are plagued by disease resistance. Currently, the mechanism of sarcoma oncogenesis remains largely unknown, thus necessitating a better understanding of pathogenesis. Although substantial progress has not occurred with molecularly targeted therapies over the past 30 years, increased knowledge about sarcoma biology could lead to new and more effective treatment strategies to move the field forward. Here, we discuss biological advances in the core molecular determinants in some of the most common soft-tissue sarcomas - liposarcoma, angiosarcoma, leiomyosarcoma, rhabdomyosarcoma, Ewing's sarcoma, and synovial sarcoma - with an emphasis on emerging genomic and molecular pathway targets and immunotherapeutic treatment strategies to combat this confounding disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 17%
Student > Bachelor 27 13%
Student > Ph. D. Student 26 13%
Researcher 20 10%
Student > Postgraduate 11 5%
Other 24 12%
Unknown 61 30%
Readers by discipline Count As %
Medicine and Dentistry 49 24%
Biochemistry, Genetics and Molecular Biology 39 19%
Agricultural and Biological Sciences 10 5%
Immunology and Microbiology 7 3%
Nursing and Health Professions 6 3%
Other 28 14%
Unknown 64 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 May 2018.
All research outputs
#5,653,060
of 23,047,237 outputs
Outputs from Cancer Management and Research
#218
of 2,017 outputs
Outputs of similar age
#97,270
of 326,176 outputs
Outputs of similar age from Cancer Management and Research
#6
of 61 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,017 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,176 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.