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Metastatic biomarkers in synovial sarcoma

Overview of attention for article published in Biomarker Research, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

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28 Dimensions

Readers on

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43 Mendeley
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Title
Metastatic biomarkers in synovial sarcoma
Published in
Biomarker Research, February 2017
DOI 10.1186/s40364-017-0083-x
Pubmed ID
Authors

Rosalia de Necochea-Campion, Lee M. Zuckerman, Hamid R. Mirshahidi, Shahrzad Khosrowpour, Chien-Shing Chen, Saied Mirshahidi

Abstract

Synovial sarcoma (SS) is an aggressive soft tissue sarcoma (STS) that typically occurs in the extremities near a joint. Metastatic disease is common and usually occurs in the lungs and lymph nodes. Surgical management is the mainstay of treatment with chemotherapy and radiation typically used as adjuvant treatment. Although chemotherapy has a positive impact on survival, the prognosis is poor if metastatic disease occurs. The biology of sarcoma invasion and metastasis remain poorly understood. Chromosomal translocation with fusion of the SYT and SSX genes has been described and is currently used as a diagnostic marker, although the full impact of the fusion is unknown. Multiple biomarkers have been found to be associated with SS and are currently under investigation regarding their pathways and mechanisms of action. Further research is needed in order to develop better diagnostic screening tools and understanding of tumor behavior. Development of targeted therapies that reduce metastatic events in SS, would dramatically improve patient prognosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Bachelor 5 12%
Other 4 9%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Other 9 21%
Unknown 8 19%
Readers by discipline Count As %
Medicine and Dentistry 21 49%
Biochemistry, Genetics and Molecular Biology 4 9%
Business, Management and Accounting 3 7%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 September 2020.
All research outputs
#7,272,754
of 22,953,506 outputs
Outputs from Biomarker Research
#92
of 317 outputs
Outputs of similar age
#139,102
of 420,233 outputs
Outputs of similar age from Biomarker Research
#3
of 8 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 317 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 70% 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 420,233 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 66% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.