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

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	31057832
Authors	Pooria Mostafalu, Mohsen Akbari, Kyle A. Alberti, Qiaobing Xu, Ali Khademhosseini, Sameer R. Sonkusale

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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.

Geographical breakdown

Country	Count	As %
United States	21	34%
France	4	6%
United Kingdom	2	3%
Netherlands	2	3%
India	2	3%
Australia	2	3%
Switzerland	2	3%
Spain	2	3%
Denmark	1	2%
Other	6	10%
Unknown	18	29%

Demographic breakdown

Type	Count	As %
Members of the public	48	77%
Scientists	8	13%
Science communicators (journalists, bloggers, editors)	3	5%
Practitioners (doctors, other healthcare professionals)	3	5%

Mendeley readers

The data shown below were compiled from readership statistics for 302 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	299	99%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	67	22%
Researcher	49	16%
Student > Master	41	14%
Student > Bachelor	34	11%
Student > Postgraduate	14	5%
Other	39	13%
Unknown	58	19%

Readers by discipline	Count	As %
Engineering	88	29%
Chemistry	36	12%
Materials Science	30	10%
Agricultural and Biological Sciences	17	6%
Biochemistry, Genetics and Molecular Biology	10	3%
Other	34	11%
Unknown	87	29%

Attention Score in Context

This research output has an Altmetric Attention Score of 491. 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

#45,078

of 23,314,015 outputs

Outputs from Microsystems & Nanoengineering

of 450 outputs

Outputs of similar age

#1,089

of 364,902 outputs

Outputs of similar age from Microsystems & Nanoengineering

of 7 outputs

Altmetric has tracked 23,314,015 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 450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. 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 364,902 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

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

About this Attention Score

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Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context