| 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
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | 33% |
| France | 4 | 7% |
| United Kingdom | 2 | 3% |
| Netherlands | 2 | 3% |
| Switzerland | 2 | 3% |
| Denmark | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Argentina | 1 | 2% |
| India | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 20 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 78% |
| Scientists | 9 | 15% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 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 | 315 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 21% |
| Researcher | 51 | 16% |
| Student > Master | 41 | 13% |
| Student > Bachelor | 34 | 11% |
| Student > Postgraduate | 15 | 5% |
| Other | 40 | 13% |
| Unknown | 69 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 89 | 28% |
| Chemistry | 36 | 11% |
| Materials Science | 30 | 9% |
| Agricultural and Biological Sciences | 18 | 6% |
| Medicine and Dentistry | 11 | 3% |
| Other | 36 | 11% |
| Unknown | 98 | 31% |
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
#51,382
of 24,674,524 outputs
Outputs from Microsystems & Nanoengineering
#2
of 520 outputs
Outputs of similar age
#1,126
of 371,034 outputs
Outputs of similar age from Microsystems & Nanoengineering
#2
of 7 outputs
Altmetric has tracked 24,674,524 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 520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 371,034 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 5 of them.