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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 (77th percentile)

Mentioned by

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

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
207 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.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 207 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%
Taiwan 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
Switzerland 1 <1%
Unknown 197 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 30%
Researcher 36 17%
Student > Master 28 14%
Student > Bachelor 24 12%
Student > Doctoral Student 11 5%
Other 29 14%
Unknown 16 8%
Readers by discipline Count As %
Engineering 75 36%
Agricultural and Biological Sciences 27 13%
Medicine and Dentistry 23 11%
Biochemistry, Genetics and Molecular Biology 15 7%
Materials Science 12 6%
Other 30 14%
Unknown 25 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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
#265,739
of 14,792,218 outputs
Outputs from Nature Communications
#4,816
of 27,951 outputs
Outputs of similar age
#8,424
of 363,981 outputs
Outputs of similar age from Nature Communications
#170
of 748 outputs
Altmetric has tracked 14,792,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,951 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.2. This one has done well, scoring higher than 82% 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 363,981 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 748 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.