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Single-Chain VEGF/Cy5.5 Targeting VEGF Receptors to Indicate Atherosclerotic Plaque Instability

Overview of attention for article published in Molecular Imaging and Biology, September 2012
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Title
Single-Chain VEGF/Cy5.5 Targeting VEGF Receptors to Indicate Atherosclerotic Plaque Instability
Published in
Molecular Imaging and Biology, September 2012
DOI 10.1007/s11307-012-0594-7
Pubmed ID
Authors

Ming Kai Lam, Sali Al-Ansari, Gooitzen M. van Dam, René A. Tio, Jan-Cees Breek, Riemer H. J. A. Slart, Jan-Luuk Hillebrands, Clark J. Zeebregts

Abstract

Unstable plaques may cause clinical events. Plaque destabilization results from the synergy between intraplaque angiogenesis and inflammation. Vascular endothelial growth factor (VEGF) and VEGF receptors (VEGFRs) are considered to be involved in these processes. We investigated the efficacy of the anti-VEGFR mimic single-chain VEGF (scVEGF) to map intra-plaque VEGFR expression and atherosclerotic plaque instability using near-infrared fluorescence (NIRF).

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Switzerland 1 4%
Unknown 25 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Professor 5 18%
Student > Bachelor 2 7%
Unspecified 2 7%
Researcher 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Agricultural and Biological Sciences 4 14%
Chemistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 2 7%
Other 5 18%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 February 2014.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Molecular Imaging and Biology
#606
of 837 outputs
Outputs of similar age
#144,006
of 191,369 outputs
Outputs of similar age from Molecular Imaging and Biology
#2
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 837 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 25th percentile – i.e., 25% 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 191,369 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.