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Molecular analysis of endothelial progenitor cell (EPC) subtypes reveals two distinct cell populations with different identities

Overview of attention for article published in BMC Medical Genomics, May 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 Wikipedia page
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Citations

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277 Dimensions

Readers on

mendeley
227 Mendeley
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1 Connotea
Title
Molecular analysis of endothelial progenitor cell (EPC) subtypes reveals two distinct cell populations with different identities
Published in
BMC Medical Genomics, May 2010
DOI 10.1186/1755-8794-3-18
Pubmed ID
Authors

Reinhold J Medina, Christina L O'Neill, Mark Sweeney, Jasenka Guduric-Fuchs, Tom A Gardiner, David A Simpson, Alan W Stitt

Abstract

The term endothelial progenitor cells (EPCs) is currently used to refer to cell populations which are quite dissimilar in terms of biological properties. This study provides a detailed molecular fingerprint for two EPC subtypes: early EPCs (eEPCs) and outgrowth endothelial cells (OECs).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
United States 2 <1%
Malaysia 1 <1%
France 1 <1%
Finland 1 <1%
Germany 1 <1%
Japan 1 <1%
Italy 1 <1%
Unknown 216 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 21%
Researcher 43 19%
Student > Master 36 16%
Student > Bachelor 25 11%
Student > Doctoral Student 13 6%
Other 35 15%
Unknown 28 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 26%
Medicine and Dentistry 57 25%
Biochemistry, Genetics and Molecular Biology 52 23%
Engineering 7 3%
Immunology and Microbiology 6 3%
Other 17 7%
Unknown 29 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 August 2015.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from BMC Medical Genomics
#289
of 1,211 outputs
Outputs of similar age
#29,928
of 94,924 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 5 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 94,924 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 66% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.