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Quantum dot imaging for embryonic stem cells

Overview of attention for article published in BMC Biotechnology, October 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
facebook
2 Facebook pages

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
530 Mendeley
citeulike
3 CiteULike
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Title
Quantum dot imaging for embryonic stem cells
Published in
BMC Biotechnology, October 2007
DOI 10.1186/1472-6750-7-67
Pubmed ID
Authors

Shuan Lin, Xiaoyan Xie, Manishkumar R Patel, Yao-Hung Yang, Zongjin Li, Feng Cao, Oliver Gheysens, Yan Zhang, Sanjiv S Gambhir, Jiang Hong Rao, Joseph C Wu

Abstract

Semiconductor quantum dots (QDs) hold increasing potential for cellular imaging both in vitro and in vivo. In this report, we aimed to evaluate in vivo multiplex imaging of mouse embryonic stem (ES) cells labeled with Qtracker delivered quantum dots (QDs). Murine embryonic stem (ES) cells were labeled with six different QDs using Qtracker. ES cell viability, proliferation, and differentiation were not adversely affected by QDs compared with non-labeled control cells (P = NS). Afterward, labeled ES cells were injected subcutaneously onto the backs of athymic nude mice. These labeled ES cells could be imaged with good contrast with one single excitation wavelength. With the same excitation wavelength, the signal intensity, defined as (total signal-background)/exposure time in millisecond was 11 +/- 2 for cells labeled with QD 525, 12 +/- 9 for QD 565, 176 +/- 81 for QD 605, 176 +/- 136 for QD 655, 167 +/- 104 for QD 705, and 1,713 +/- 482 for QD 800. Finally, we have shown that QD 800 offers greater fluorescent intensity than the other QDs tested. In summary, this is the first demonstration of in vivo multiplex imaging of mouse ES cells labeled QDs. Upon further improvements, QDs will have a greater potential for tracking stem cells within deep tissues. These results provide a promising tool for imaging stem cell therapy non-invasively in vivo.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 530 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
United Kingdom 3 <1%
Hungary 1 <1%
Portugal 1 <1%
India 1 <1%
Spain 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 515 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 7%
Researcher 35 7%
Student > Master 16 3%
Professor > Associate Professor 15 3%
Student > Bachelor 8 2%
Other 23 4%
Unknown 395 75%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 9%
Medicine and Dentistry 17 3%
Biochemistry, Genetics and Molecular Biology 13 2%
Chemistry 13 2%
Engineering 9 2%
Other 31 6%
Unknown 401 76%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 January 2024.
All research outputs
#6,277,270
of 25,192,722 outputs
Outputs from BMC Biotechnology
#364
of 976 outputs
Outputs of similar age
#22,576
of 78,601 outputs
Outputs of similar age from BMC Biotechnology
#4
of 11 outputs
Altmetric has tracked 25,192,722 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 976 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 62% 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 78,601 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 71% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.