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Quantifying Platelet Margination in Diabetic Blood Flow

Overview of attention for article published in Biophysical Journal, August 2018
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Mentioned by

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1 YouTube creator

Citations

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50 Dimensions

Readers on

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81 Mendeley
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Title
Quantifying Platelet Margination in Diabetic Blood Flow
Published in
Biophysical Journal, August 2018
DOI 10.1016/j.bpj.2018.08.031
Pubmed ID
Authors

Hung-Yu Chang, Alireza Yazdani, Xuejin Li, Konstantinos A A Douglas, Christos S Mantzoros, George Em Karniadakis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Researcher 12 15%
Student > Bachelor 9 11%
Professor > Associate Professor 5 6%
Professor 4 5%
Other 10 12%
Unknown 23 28%
Readers by discipline Count As %
Engineering 17 21%
Medicine and Dentistry 13 16%
Agricultural and Biological Sciences 5 6%
Chemical Engineering 4 5%
Computer Science 2 2%
Other 9 11%
Unknown 31 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Biophysical Journal
#9,438
of 10,300 outputs
Outputs of similar age
#301,420
of 344,376 outputs
Outputs of similar age from Biophysical Journal
#89
of 103 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 344,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.