The data shown below were collected from the profiles of 68 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Nanomesh pressure sensor for monitoring finger manipulation without sensory interference
|
---|---|
Published in |
Science, November 2020
|
DOI | 10.1126/science.abc9735 |
Pubmed ID | |
Authors |
Sunghoon Lee, Sae Franklin, Faezeh Arab Hassani, Tomoyuki Yokota, Md Osman Goni Nayeem, Yan Wang, Raz Leib, Gordon Cheng, David W Franklin, Takao Someya |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 10% |
Germany | 4 | 6% |
India | 3 | 4% |
United Kingdom | 3 | 4% |
Japan | 2 | 3% |
France | 1 | 1% |
Canada | 1 | 1% |
United Arab Emirates | 1 | 1% |
Australia | 1 | 1% |
Other | 0 | 0% |
Unknown | 45 | 66% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 44 | 65% |
Scientists | 19 | 28% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 292 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 21% |
Student > Master | 29 | 10% |
Student > Bachelor | 23 | 8% |
Researcher | 21 | 7% |
Student > Doctoral Student | 16 | 5% |
Other | 38 | 13% |
Unknown | 104 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 77 | 26% |
Materials Science | 45 | 15% |
Chemistry | 11 | 4% |
Physics and Astronomy | 9 | 3% |
Chemical Engineering | 5 | 2% |
Other | 22 | 8% |
Unknown | 123 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 178. 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 November 2022.
All research outputs
#242,154
of 26,549,961 outputs
Outputs from Science
#6,648
of 84,139 outputs
Outputs of similar age
#6,824
of 534,384 outputs
Outputs of similar age from Science
#142
of 919 outputs
Altmetric has tracked 26,549,961 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 84,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.7. This one has done particularly well, scoring higher than 92% 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 534,384 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 98% of its contemporaries.
We're also able to compare this research output to 919 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.