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MicroRNA profiling of diverse endothelial cell types

Overview of attention for article published in BMC Medical Genomics, November 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
2 CiteULike
Title
MicroRNA profiling of diverse endothelial cell types
Published in
BMC Medical Genomics, November 2011
DOI 10.1186/1755-8794-4-78
Pubmed ID
Authors

Matthew N McCall, Oliver A Kent, Jianshi Yu, Karen Fox-Talbot, Ari L Zaiman, Marc K Halushka

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
United States 3 3%
France 1 <1%
Malaysia 1 <1%
Belgium 1 <1%
Italy 1 <1%
Unknown 110 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 26 22%
Student > Master 16 13%
Professor 8 7%
Other 6 5%
Other 23 19%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 44%
Medicine and Dentistry 22 18%
Biochemistry, Genetics and Molecular Biology 17 14%
Immunology and Microbiology 5 4%
Arts and Humanities 2 2%
Other 8 7%
Unknown 13 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 30 September 2015.
All research outputs
#7,475,808
of 22,854,458 outputs
Outputs from BMC Medical Genomics
#363
of 1,223 outputs
Outputs of similar age
#47,465
of 142,031 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 8 outputs
Altmetric has tracked 22,854,458 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 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 65% 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 142,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.