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A shear gradient-activated microfluidic device for automated monitoring of whole blood haemostasis and platelet function

Overview of attention for article published in Nature Communications, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
3 X users
patent
1 patent
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
288 Mendeley
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Title
A shear gradient-activated microfluidic device for automated monitoring of whole blood haemostasis and platelet function
Published in
Nature Communications, January 2016
DOI 10.1038/ncomms10176
Pubmed ID
Authors

Abhishek Jain, Amanda Graveline, Anna Waterhouse, Andyna Vernet, Robert Flaumenhaft, Donald E. Ingber

Abstract

Accurate assessment of blood haemostasis is essential for the management of patients who use extracorporeal devices, receive anticoagulation therapy or experience coagulopathies. However, current monitoring devices do not measure effects of haemodynamic forces that contribute significantly to platelet function and thrombus formation. Here we describe a microfluidic device that mimics a network of stenosed arteriolar vessels, permitting evaluation of blood clotting within small sample volumes under pathophysiological flow. By applying a clotting time analysis based on a phenomenological mathematical model of thrombus formation, coagulation and platelet function can be accurately measured in vitro in patient blood samples. When the device is integrated into an extracorporeal circuit in pig endotoxemia or heparin therapy models, it produces real-time readouts of alterations in coagulation ex vivo that are more reliable than standard clotting assays. Thus, this disposable device may be useful for personalized diagnostics and for real-time surveillance of antithrombotic therapy in clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Denmark 2 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
Japan 1 <1%
Korea, Republic of 1 <1%
Unknown 279 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 27%
Researcher 44 15%
Student > Master 35 12%
Student > Bachelor 30 10%
Student > Doctoral Student 13 5%
Other 35 12%
Unknown 52 18%
Readers by discipline Count As %
Engineering 87 30%
Agricultural and Biological Sciences 35 12%
Medicine and Dentistry 26 9%
Biochemistry, Genetics and Molecular Biology 17 6%
Materials Science 13 5%
Other 43 15%
Unknown 67 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 02 May 2019.
All research outputs
#493,059
of 22,837,982 outputs
Outputs from Nature Communications
#8,673
of 47,024 outputs
Outputs of similar age
#9,665
of 393,663 outputs
Outputs of similar age from Nature Communications
#158
of 753 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 47,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has done well, scoring higher than 81% 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 393,663 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 753 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.