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Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR

Overview of attention for article published in BMC Molecular and Cell Biology, March 2009
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
q&a
1 Q&A thread

Readers on

mendeley
247 Mendeley
citeulike
1 CiteULike
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Title
Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR
Published in
BMC Molecular and Cell Biology, March 2009
DOI 10.1186/1471-2199-10-17
Pubmed ID
Authors

Valeria Valente, Silvia A Teixeira, Luciano Neder, Oswaldo K Okamoto, Sueli M Oba-Shinjo, Suely KN Marie, Carlos A Scrideli, Maria L Paçó-Larson, Carlos G Carlotti

Abstract

Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, there was no previous report regarding this issue.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 2%
United Kingdom 3 1%
Germany 1 <1%
Portugal 1 <1%
Canada 1 <1%
China 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 232 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 23%
Student > Master 46 19%
Researcher 34 14%
Student > Bachelor 26 11%
Student > Doctoral Student 13 5%
Other 29 12%
Unknown 42 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 39%
Biochemistry, Genetics and Molecular Biology 54 22%
Medicine and Dentistry 22 9%
Neuroscience 8 3%
Immunology and Microbiology 4 2%
Other 15 6%
Unknown 48 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 February 2015.
All research outputs
#4,168,397
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#76
of 1,233 outputs
Outputs of similar age
#16,419
of 108,064 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#2
of 22 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 108,064 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 84% of its contemporaries.
We're also able to compare this research output to 22 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.