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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
patent
3 patents

Readers on

mendeley
174 Mendeley
connotea
1 Connotea
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Article details
Title
A Quantitative Comparison of Cell-Type-Specific Microarray Gene Expression Profiling Methods in the Mouse Brain
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016493
Pubmed ID
Authors
Abstract

Expression profiling of restricted neural populations using microarrays can facilitate neuronal classification and provide insight into the molecular bases of cellular phenotypes. Due to the formidable heterogeneity of intermixed cell types that make up the brain, isolating cell types prior to microarray processing poses steep technical challenges that have been met in various ways. These methodological differences have the potential to distort cell-type-specific gene expression profiles insofar as they may insufficiently filter out contaminating mRNAs or induce aberrant cellular responses not normally present in vivo. Thus we have compared the repeatability, susceptibility to contamination from off-target cell-types, and evidence for stress-responsive gene expression of five different purification methods--Laser Capture Microdissection (LCM), Translating Ribosome Affinity Purification (TRAP), Immunopanning (PAN), Fluorescence Activated Cell Sorting (FACS), and manual sorting of fluorescently labeled cells (Manual). We found that all methods obtained comparably high levels of repeatability, however, data from LCM and TRAP showed significantly higher levels of contamination than the other methods. While PAN samples showed higher activation of apoptosis-related, stress-related and immediate early genes, samples from FACS and Manual studies, which also require dissociated cells, did not. Given that TRAP targets actively translated mRNAs, whereas other methods target all transcribed mRNAs, observed differences may also reflect translational regulation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 13 7%
Netherlands 2 1%
United Kingdom 2 1%
Canada 2 1%
Portugal 1 <1%
Japan 1 <1%
Israel 1 <1%
Spain 1 <1%
Germany 1 <1%
Other 1 <1%
Unknown 149 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 55 32%
Student > Ph. D. Student 52 30%
Professor > Associate Professor 10 6%
Student > Doctoral Student 8 5%
Student > Bachelor 8 5%
Other 24 14%
Unknown 17 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 89 51%
Neuroscience 26 15%
Biochemistry, Genetics and Molecular Biology 13 7%
Medicine and Dentistry 13 7%
Engineering 8 5%
Other 6 3%
Unknown 19 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 April 2021.
All research outputs
#6,093,298
of 34,362,729 outputs
Outputs from PLOS ONE
#58,076
of 224,527 outputs
Outputs of similar age
#39,450
of 256,975 outputs
Outputs of similar age from PLOS ONE
#512
of 1,656 outputs
Altmetric has tracked 34,362,729 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 73% 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 256,975 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 83% of its contemporaries.
We're also able to compare this research output to 1,656 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.