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MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype

Overview of attention for article published in Genome Biology, October 2007
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 X user
patent
4 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
824 Dimensions

Readers on

mendeley
560 Mendeley
citeulike
13 CiteULike
connotea
3 Connotea
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Title
MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype
Published in
Genome Biology, October 2007
DOI 10.1186/gb-2007-8-10-r214
Pubmed ID
Authors

Cherie Blenkiron, Leonard D Goldstein, Natalie P Thorne, Inmaculada Spiteri, Suet-Feung Chin, Mark J Dunning, Nuno L Barbosa-Morais, Andrew E Teschendorff, Andrew R Green, Ian O Ellis, Simon Tavaré, Carlos Caldas, Eric A Miska

Abstract

MicroRNAs (miRNAs), a class of short non-coding RNAs found in many plants and animals, often act post-transcriptionally to inhibit gene expression.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 560 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
United Kingdom 6 1%
Spain 3 <1%
France 2 <1%
Australia 2 <1%
Brazil 2 <1%
Austria 1 <1%
Germany 1 <1%
India 1 <1%
Other 6 1%
Unknown 528 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 129 23%
Student > Ph. D. Student 107 19%
Student > Master 86 15%
Student > Bachelor 52 9%
Professor > Associate Professor 33 6%
Other 91 16%
Unknown 62 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 234 42%
Biochemistry, Genetics and Molecular Biology 124 22%
Medicine and Dentistry 70 13%
Computer Science 16 3%
Chemistry 10 2%
Other 37 7%
Unknown 69 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 July 2023.
All research outputs
#3,621,629
of 25,371,288 outputs
Outputs from Genome Biology
#2,501
of 4,467 outputs
Outputs of similar age
#9,313
of 83,511 outputs
Outputs of similar age from Genome Biology
#8
of 48 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 43rd percentile – i.e., 43% 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 83,511 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 88% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.