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Comparing protein abundance and mRNA expression levels on a genomic scale

Overview of attention for article published in Genome Biology, August 2003
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1419 Dimensions

Readers on

mendeley
1360 Mendeley
citeulike
15 CiteULike
connotea
2 Connotea
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Title
Comparing protein abundance and mRNA expression levels on a genomic scale
Published in
Genome Biology, August 2003
DOI 10.1186/gb-2003-4-9-117
Pubmed ID
Authors

Dov Greenbaum, Christopher Colangelo, Kenneth Williams, Mark Gerstein

Abstract

Attempts to correlate protein abundance with mRNA expression levels have had variable success. We review the results of these comparisons, focusing on yeast. In the process, we survey experimental techniques for determining protein abundance, principally two-dimensional gel electrophoresis and mass-spectrometry. We also merge many of the available yeast protein-abundance datasets, using the resulting larger 'meta-dataset' to find correlations between protein and mRNA expression, both globally and within smaller categories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 1%
United Kingdom 8 <1%
Germany 5 <1%
France 5 <1%
Canada 5 <1%
Spain 4 <1%
Australia 3 <1%
Portugal 3 <1%
India 3 <1%
Other 22 2%
Unknown 1287 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 381 28%
Researcher 202 15%
Student > Master 189 14%
Student > Bachelor 145 11%
Student > Doctoral Student 62 5%
Other 193 14%
Unknown 188 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 509 37%
Biochemistry, Genetics and Molecular Biology 244 18%
Medicine and Dentistry 95 7%
Neuroscience 40 3%
Computer Science 36 3%
Other 214 16%
Unknown 222 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 March 2023.
All research outputs
#6,981,937
of 26,017,215 outputs
Outputs from Genome Biology
#3,207
of 4,513 outputs
Outputs of similar age
#17,294
of 56,088 outputs
Outputs of similar age from Genome Biology
#12
of 22 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 56,088 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 68% 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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.