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Diagnostic and prognostic gene expression signatures in 177 soft tissue sarcomas: hypoxia-induced transcription profile signifies metastatic potential

Overview of attention for article published in BMC Genomics, March 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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6 patents
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1 research highlight platform

Citations

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141 Dimensions

Readers on

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82 Mendeley
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Title
Diagnostic and prognostic gene expression signatures in 177 soft tissue sarcomas: hypoxia-induced transcription profile signifies metastatic potential
Published in
BMC Genomics, March 2007
DOI 10.1186/1471-2164-8-73
Pubmed ID
Authors

Princy Francis, Heidi Maria Namløs, Christoph Müller, Patrik Edén, Josefin Fernebro, Jeanne-Marie Berner, Bodil Bjerkehagen, Måns Åkerman, Pär-Ola Bendahl, Anna Isinger, Anders Rydholm, Ola Myklebost, Mef Nilbert

Abstract

Soft tissue sarcoma (STS) diagnosis is challenging because of a multitude of histopathological subtypes, different genetic characteristics, and frequent intratumoral pleomorphism. One-third of STS metastasize and current risk-stratification is suboptimal, therefore, novel diagnostic and prognostic markers would be clinically valuable. We assessed the diagnostic and prognostic value of array-based gene expression profiles using 27 k cDNA microarrays in 177, mainly high-grade, STS of 13 histopathological subtypes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
United Kingdom 1 1%
Canada 1 1%
China 1 1%
Spain 1 1%
Luxembourg 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 26%
Student > Ph. D. Student 17 21%
Professor 8 10%
Other 6 7%
Student > Bachelor 5 6%
Other 15 18%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 29%
Medicine and Dentistry 21 26%
Biochemistry, Genetics and Molecular Biology 14 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Computer Science 1 1%
Other 6 7%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 October 2023.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from BMC Genomics
#1,170
of 11,244 outputs
Outputs of similar age
#9,159
of 89,739 outputs
Outputs of similar age from BMC Genomics
#5
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 89,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.