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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 (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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1 Wikipedia page
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1 research highlight platform

Citations

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262 Dimensions

Readers on

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214 Mendeley
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1 Connotea
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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

The data shown below were compiled from readership statistics for 214 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 203 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 21%
Researcher 40 19%
Student > Master 36 17%
Student > Bachelor 22 10%
Student > Doctoral Student 12 6%
Other 34 16%
Unknown 24 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 28%
Medicine and Dentistry 54 25%
Biochemistry, Genetics and Molecular Biology 48 22%
Engineering 7 3%
Immunology and Microbiology 6 3%
Other 15 7%
Unknown 25 12%

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
#5,273,095
of 18,796,528 outputs
Outputs from BMC Medical Genomics
#239
of 996 outputs
Outputs of similar age
#57,669
of 234,041 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 37 outputs
Altmetric has tracked 18,796,528 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 996 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 234,041 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 73% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.