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A toolkit of thread-based microfluidics, sensors, and electronics for 3D tissue embedding for medical diagnostics

Overview of attention for article published in Microsystems & Nanoengineering, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 556)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
49 news outlets
blogs
11 blogs
twitter
60 X users
patent
1 patent
facebook
5 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
324 Mendeley
Title
A toolkit of thread-based microfluidics, sensors, and electronics for 3D tissue embedding for medical diagnostics
Published in
Microsystems & Nanoengineering, July 2016
DOI 10.1038/micronano.2016.39
Pubmed ID
Authors

Pooria Mostafalu, Mohsen Akbari, Kyle A. Alberti, Qiaobing Xu, Ali Khademhosseini, Sameer R. Sonkusale

X Demographics

X Demographics

The data shown below were collected from the profiles of 60 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 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Unknown 321 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 21%
Researcher 52 16%
Student > Master 43 13%
Student > Bachelor 34 10%
Student > Postgraduate 15 5%
Other 40 12%
Unknown 71 22%
Readers by discipline Count As %
Engineering 90 28%
Chemistry 39 12%
Materials Science 29 9%
Agricultural and Biological Sciences 18 6%
Medicine and Dentistry 11 3%
Other 37 11%
Unknown 100 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 488. 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 28 May 2020.
All research outputs
#54,006
of 25,374,647 outputs
Outputs from Microsystems & Nanoengineering
#1
of 556 outputs
Outputs of similar age
#1,133
of 377,580 outputs
Outputs of similar age from Microsystems & Nanoengineering
#1
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done particularly well, scoring higher than 99% 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 377,580 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 99% 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