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RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls

Overview of attention for article published in BMC Cancer, January 2012
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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 (91st percentile)

Mentioned by

twitter
1 tweeter
patent
5 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
146 Dimensions

Readers on

mendeley
206 Mendeley
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Title
RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls
Published in
BMC Cancer, January 2012
DOI 10.1186/1471-2407-12-22
Pubmed ID
Authors

Mikkel Noerholm, Leonora Balaj, Tobias Limperg, Afshin Salehi, Lin Dan Zhu, Fred H Hochberg, Xandra O Breakefield, Bob S Carter, Johan Skog

Abstract

RNA from exosomes and other microvesicles contain transcripts of tumour origin. In this study we sought to identify biomarkers of glioblastoma multiforme in microvesicle RNA from serum of affected patients.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
Brazil 2 <1%
Denmark 2 <1%
Spain 1 <1%
United States 1 <1%
Unknown 198 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 28%
Student > Ph. D. Student 49 24%
Student > Master 22 11%
Student > Bachelor 15 7%
Student > Doctoral Student 13 6%
Other 36 17%
Unknown 14 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 34%
Medicine and Dentistry 39 19%
Biochemistry, Genetics and Molecular Biology 34 17%
Engineering 10 5%
Neuroscience 9 4%
Other 22 11%
Unknown 21 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 06 October 2020.
All research outputs
#1,778,957
of 17,367,552 outputs
Outputs from BMC Cancer
#332
of 6,315 outputs
Outputs of similar age
#18,993
of 223,560 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,315 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% 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 223,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them