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Peculiarities of studying the effects of pathogen reduction technologies on platelets

Overview of attention for article published in PROTEOMICS - Clinical Applications, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 999)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 news outlet
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5 X users

Citations

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8 Dimensions

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9 Mendeley
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Title
Peculiarities of studying the effects of pathogen reduction technologies on platelets
Published in
PROTEOMICS - Clinical Applications, May 2016
DOI 10.1002/prca.201500124
Pubmed ID
Authors

Abdimajid Osman, Walter E Hitzler, Patrick Provost

Abstract

The transfusion of platelet concentrates (PCs) is mainly used for treatment of thrombocytopenic, trauma or surgery patients. The integrity and safety of these platelet preparations, however, is compromised by the presence of pathogens, such as viruses, bacteria and parasites. The transfer of allogeneic donor leukocytes contaminating PCs can also potentially cause adverse reactions in recipients. These considerations prompted the development and implementation of pathogen reduction technologies (PRT), which are based on chemically induced cross-linking and inactivation of nucleic acids. While the incumbent PRT may provide some protection against transfusion-transmitted infections, they are ineffective against infectious prions and may not inactivate other emerging pathogens. In addition, the safety of PRT concerning platelet viability and function has been questioned in several reports. Recent studies suggest that PRT, such as Intercept, may adversely affect the messenger RNA (mRNA) and microRNA content of platelets, as well as their functional integrity, which may compromise the clinical benefits of PRT. Here, we will discuss about the peculiarities of studying the effects of PRT on platelets, which will need to be taken into account in future studies aimed to characterize further, and polish, the rugged side of this otherwise useful and potentially important approach in transfusion medicine. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Other 2 22%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Medicine and Dentistry 4 44%
Biochemistry, Genetics and Molecular Biology 1 11%
Engineering 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 April 2016.
All research outputs
#3,138,454
of 25,373,627 outputs
Outputs from PROTEOMICS - Clinical Applications
#44
of 999 outputs
Outputs of similar age
#51,395
of 342,339 outputs
Outputs of similar age from PROTEOMICS - Clinical Applications
#5
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 999 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 95% 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 342,339 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 84% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.