↓ Skip to main content

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
Altmetric Badge

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 281)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
49 news outlets
blogs
11 blogs
twitter
62 tweeters
patent
1 patent
facebook
5 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
227 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

Twitter Demographics

The data shown below were collected from the profiles of 62 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 227 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 224 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 24%
Researcher 38 17%
Student > Master 33 15%
Student > Bachelor 24 11%
Student > Postgraduate 13 6%
Other 30 13%
Unknown 35 15%
Readers by discipline Count As %
Engineering 69 30%
Materials Science 25 11%
Chemistry 23 10%
Agricultural and Biological Sciences 12 5%
Medicine and Dentistry 9 4%
Other 28 12%
Unknown 61 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 490. 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
#27,090
of 17,120,105 outputs
Outputs from Microsystems & Nanoengineering
#1
of 281 outputs
Outputs of similar age
#886
of 269,516 outputs
Outputs of similar age from Microsystems & Nanoengineering
#1
of 1 outputs
Altmetric has tracked 17,120,105 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 281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. 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 269,516 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 1 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