↓ Skip to main content

A Microfluidic Model of Hemostasis Sensitive to Platelet Function and Coagulation

Overview of attention for article published in Cellular and Molecular Bioengineering, October 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 459)
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
89 Mendeley
Title
A Microfluidic Model of Hemostasis Sensitive to Platelet Function and Coagulation
Published in
Cellular and Molecular Bioengineering, October 2016
DOI 10.1007/s12195-016-0469-0
Pubmed ID
Authors

R. M. Schoeman, K. Rana, N. Danes, M. Lehmann, J. A. Di Paola, A. L. Fogelson, K. Leiderman, K. B. Neeves

Abstract

Hemostasis is the process of sealing a vascular injury with a thrombus to arrest bleeding. The type of thrombus that forms depends on the nature of the injury and hemodynamics. There are many models of intravascular thrombus formation whereby blood is exposed to prothrombotic molecules on a solid substrate. However, there are few models of extravascular thrombus formation whereby blood escapes into the extravascular space through a hole in the vessel wall. Here, we describe a microfluidic model of hemostasis that includes vascular, vessel wall, and extravascular compartments. Type I collagen and tissue factor, which support platelet adhesion and initiate coagulation, respectively, were adsorbed to the wall of the injury channel and act synergistically to yield a stable thrombus that stops blood loss into the extravascular compartment in ~7.5 min. Inhibiting factor VIII to mimic hemophilia A results in an unstable thrombus that was unable to close the injury. Treatment with a P2Y12 antagonist to reduce platelet activation prolonged the closure time two-fold compared to controls. Taken together, these data demonstrate a hemostatic model that is sensitive to both coagulation and platelet function and can be used to study coagulopathies and platelet dysfunction that result in excessive blood loss.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 11 12%
Student > Bachelor 10 11%
Student > Master 6 7%
Student > Doctoral Student 4 4%
Other 9 10%
Unknown 24 27%
Readers by discipline Count As %
Engineering 26 29%
Chemical Engineering 5 6%
Medicine and Dentistry 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Mathematics 3 3%
Other 13 15%
Unknown 34 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 May 2022.
All research outputs
#3,076,438
of 22,914,829 outputs
Outputs from Cellular and Molecular Bioengineering
#23
of 459 outputs
Outputs of similar age
#54,618
of 313,856 outputs
Outputs of similar age from Cellular and Molecular Bioengineering
#1
of 7 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 459 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 94% 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 313,856 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 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them