↓ Skip to main content

Towards the identification of autologous blood transfusions through capillary electrophoresis

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Towards the identification of autologous blood transfusions through capillary electrophoresis
Published in
Analytical & Bioanalytical Chemistry, November 2013
DOI 10.1007/s00216-013-7487-8
Pubmed ID
Authors

Christopher R. Harrison, Jack Chuan-Yu Fang, Kimberly J. Walthall, Chelsea C. Green, Vukica Porobic

Abstract

The use of autologous blood transfusions by endurance athletes has remained one of the most difficult doping practices to detect. The implementation of the Athlete's Biological Passport by some sporting bodies has proved to be effective; however, the analysis relies on the long-term monitoring of numerous biological markers, looking for abnormal variations in a number of biological markers to indicate doping. This work introduces an approach to identify autologous blood transfusions by examining the red blood cells (RBCs) directly. By using high-speed capillary electrophoretic separations, the relative distribution of the sizes of the RBCs in a sample can be established in under 3 min, following the preparation of the cells. As RBCs that have been stored for transfusions undergo vesiculation, the relative size of the transfused cells differs from the native cells. The capillary electrophoretic separation allows for a rapid examination of this distribution and the changes that are seen when transfused RBCs are mixed with native cells. In this work, the effectiveness of this approach is demonstrated in the identification of simulated (in vitro) autologous blood transfusions performed with blood samples from three highly trained cyclists; it was possible to rapidly identify when as little as 5 % of the RBCs in the sample were from a simulated autologous transfusion.

X Demographics

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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 5%
Student > Ph. D. Student 7 3%
Professor > Associate Professor 3 1%
Other 2 <1%
Student > Bachelor 2 <1%
Other 3 1%
Unknown 191 88%
Readers by discipline Count As %
Chemistry 17 8%
Biochemistry, Genetics and Molecular Biology 1 <1%
Agricultural and Biological Sciences 1 <1%
Computer Science 1 <1%
Unspecified 1 <1%
Other 4 2%
Unknown 193 89%
Attention Score in Context

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 16 September 2015.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,450
of 9,619 outputs
Outputs of similar age
#176,800
of 319,985 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#34
of 64 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 52% 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 319,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.