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Mining expressed sequence tags identifies cancer markers of clinical interest

Overview of attention for article published in BMC Bioinformatics, November 2006
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
19 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Mining expressed sequence tags identifies cancer markers of clinical interest
Published in
BMC Bioinformatics, November 2006
DOI 10.1186/1471-2105-7-481
Pubmed ID
Authors

Fabien Campagne, Lucy Skrabanek

Abstract

Gene expression data are a rich source of information about the transcriptional dis-regulation of genes in cancer. Genes that display differential regulation in cancer are a subtype of cancer biomarkers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 11%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Ph. D. Student 5 26%
Professor > Associate Professor 2 11%
Professor 1 5%
Librarian 1 5%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 37%
Computer Science 6 32%
Business, Management and Accounting 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 April 2020.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,279 outputs
Outputs of similar age
#24,119
of 69,311 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 54 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 69,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.