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Silicon-based microfilters for whole blood cell separation

Overview of attention for article published in Biomedical Microdevices, October 2007
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Mentioned by

patent
11 patents

Citations

dimensions_citation
229 Dimensions

Readers on

mendeley
260 Mendeley
Title
Silicon-based microfilters for whole blood cell separation
Published in
Biomedical Microdevices, October 2007
DOI 10.1007/s10544-007-9131-x
Pubmed ID
Authors

Hong Miao Ji, Victor Samper, Yu Chen, Chew Kiat Heng, Tit Meng Lim, Levent Yobas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Canada 2 <1%
Hungary 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Unknown 251 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 30%
Student > Master 43 17%
Researcher 26 10%
Student > Bachelor 21 8%
Professor > Associate Professor 13 5%
Other 29 11%
Unknown 50 19%
Readers by discipline Count As %
Engineering 116 45%
Agricultural and Biological Sciences 29 11%
Biochemistry, Genetics and Molecular Biology 13 5%
Physics and Astronomy 11 4%
Chemical Engineering 8 3%
Other 19 7%
Unknown 64 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2020.
All research outputs
#7,566,705
of 23,079,238 outputs
Outputs from Biomedical Microdevices
#238
of 755 outputs
Outputs of similar age
#25,542
of 72,409 outputs
Outputs of similar age from Biomedical Microdevices
#3
of 11 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 755 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 32nd percentile – i.e., 32% 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 72,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.