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Serial microanalysis of renal transcriptomes

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, December 1999
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

patent
10 patents

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
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Article details
Title
Serial microanalysis of renal transcriptomes
Published in
Proceedings of the National Academy of Sciences of the United States of America, December 1999
DOI 10.1073/pnas.96.26.15286
Pubmed ID
Authors
Abstract

Large-scale gene expression studies can now be routinely performed on macroamounts of cells, but it is unclear to which extent current methods are valuable for analyzing complex tissues. In the present study, we used the method of serial analysis of gene expression (SAGE) for quantitative mRNA profiling in the mouse kidney. We first performed SAGE at the whole-kidney level by sequencing 12,000 mRNA tags. Most abundant tags corresponded to transcripts widely distributed or enriched in the predominant kidney epithelial cells (proximal tubular cells), whereas transcripts specific for minor cell types were barely evidenced. To better explore such cells, we set up a SAGE adaptation for downsized extracts, enabling a 1, 000-fold reduction of the amount of starting material. The potential of this approach was evaluated by studying gene expression in microdissected kidney tubules (50,000 cells). Specific gene expression profiles were obtained, and known markers (e.g., uromodulin in the thick ascending limb of Henle's loop and aquaporin-2 in the collecting duct) were found appropriately enriched. In addition, several enriched tags had no databank match, suggesting that they correspond to unknown or poorly characterized transcripts with specific tissue distribution. It is concluded that SAGE adaptation for downsized extracts makes possible large-scale quantitative gene expression measurements in small biological samples and will help to study the tissue expression and function of genes not evidenced with other high-throughput methods.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Sweden 1 3%
Netherlands 1 3%
Mexico 1 3%
Italy 1 3%
Unknown 31 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 19%
Student > Master 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 4 11%
Other 11 31%
Unknown 1 3%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 23 64%
Medicine and Dentistry 7 19%
Biochemistry, Genetics and Molecular Biology 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unknown 1 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 January 2014.
All research outputs
#3,834,220
of 34,763,505 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#39,442
of 119,650 outputs
Outputs of similar age
#7,465
of 158,392 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#89
of 519 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has gotten more attention than average, scoring higher than 64% 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 158,392 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 93% of its contemporaries.
We're also able to compare this research output to 519 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.