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Design of a novel class of protein‐based magnetic resonance imaging contrast agents for the molecular imaging of cancer biomarkers

Overview of attention for article published in Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, January 2013
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
8 patents
wikipedia
11 Wikipedia pages

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Design of a novel class of protein‐based magnetic resonance imaging contrast agents for the molecular imaging of cancer biomarkers
Published in
Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, January 2013
DOI 10.1002/wnan.1205
Pubmed ID
Authors

Shenghui Xue, Jingjuan Qiao, Fan Pu, Mathew Cameron, Jenny J. Yang

Abstract

Magnetic resonance imaging (MRI) of disease biomarkers, especially cancer biomarkers, could potentially improve our understanding of the disease and drug activity during preclinical and clinical drug treatment and patient stratification. MRI contrast agents with high relaxivity and targeting capability to tumor biomarkers are highly required. Extensive work has been done to develop MRI contrast agents. However, only a few limited literatures report that protein residues can function as ligands to bind Gd(3+) with high binding affinity, selectivity, and relaxivity. In this paper, we focus on reporting our current progress on designing a novel class of protein-based Gd(3+) MRI contrast agents (ProCAs) equipped with several desirable capabilities for in vivo application of MRI of tumor biomarkers. We will first discuss our strategy for improving the relaxivity by a novel protein-based design. We then discuss the effect of increased relaxivity of ProCAs on improving the detection limits for MRI contrast agent, especially for in vivo application. We will further report our efforts to improve in vivo imaging capability and our achievement in molecular imaging of cancer biomarkers with potential preclinical and clinical applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Researcher 9 19%
Student > Ph. D. Student 9 19%
Student > Master 7 15%
Other 4 8%
Other 5 10%
Unknown 5 10%
Readers by discipline Count As %
Chemistry 11 23%
Biochemistry, Genetics and Molecular Biology 6 13%
Medicine and Dentistry 5 10%
Engineering 5 10%
Agricultural and Biological Sciences 4 8%
Other 11 23%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 August 2023.
All research outputs
#3,798,945
of 25,374,917 outputs
Outputs from Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology
#100
of 522 outputs
Outputs of similar age
#37,762
of 292,509 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology
#3
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 522 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 79% 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 292,509 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 86% of its contemporaries.
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 5 of them.