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Blood group antigen studies using CdTe quantum dots and flow cytometry

Overview of attention for article published in International Journal of Nanomedicine, July 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 tweeters
googleplus
1 Google+ user

Citations

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15 Dimensions

Readers on

mendeley
34 Mendeley
Title
Blood group antigen studies using CdTe quantum dots and flow cytometry
Published in
International Journal of Nanomedicine, July 2015
DOI 10.2147/ijn.s84551
Pubmed ID
Authors

Adriana Fontes, Paulo Cabral Filho, Maria Pereira, Heloise Fernandes, Andre de Thomaz, Carlos Lenz Cesar, Beate Santos, Maria Barjas-Castro

Abstract

New methods of analysis involving semiconductor nanocrystals (quantum dots [QDs]) as fluorescent probes have been highlighted in life science. QDs present some advantages when compared to organic dyes, such as size-tunable emission spectra, broad absorption bands, and principally exceptional resistance to photobleaching. Methods applying QDs can be simple, not laborious, and can present high sensibility, allowing biomolecule identification and quantification with high specificity. In this context, the aim of this work was to apply dual-color CdTe QDs to quantify red blood cell (RBC) antigen expression on cell surface by flow cytometric analysis. QDs were conjugated to anti-A or anti-B monoclonal antibodies, as well as to the anti-H (Ulex europaeus I) lectin, to investigate RBCs of A1, B, A1B, O, A2, and Aweak donors. Bioconjugates were capable of distinguishing the different expressions of RBC antigens, both by labeling efficiency and by flow cytometry histogram profile. Furthermore, results showed that RBCs from Aweak donors present fewer amounts of A antigens and higher amounts of H, when compared to A1 RBCs. In the A group, the amount of A antigens decreased as A1 > A3 > AX = Ael, while H antigens were AX = Ael > A1. Bioconjugates presented stability and remained active for at least 6 months. In conclusion, this methodology with high sensibility and specificity can be applied to study a variety of RBC antigens, and, as a quantitative tool, can help in achieving a better comprehension of the antigen expression patterns on RBC membranes.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Bachelor 6 18%
Researcher 3 9%
Other 3 9%
Student > Ph. D. Student 3 9%
Other 7 21%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 4 12%
Physics and Astronomy 1 3%
Unspecified 1 3%
Other 3 9%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 November 2017.
All research outputs
#6,508,315
of 12,145,106 outputs
Outputs from International Journal of Nanomedicine
#715
of 2,392 outputs
Outputs of similar age
#92,695
of 235,378 outputs
Outputs of similar age from International Journal of Nanomedicine
#23
of 120 outputs
Altmetric has tracked 12,145,106 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,392 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 69% 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 235,378 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 59% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.