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X Demographics
Mendeley readers
Attention Score in Context
Title |
An ultrafast system for signaling mechanical pain in human skin
|
---|---|
Published in |
Science Advances, July 2019
|
DOI | 10.1126/sciadv.aaw1297 |
Pubmed ID | |
Authors |
Saad S Nagi, Andrew G Marshall, Adarsh Makdani, Ewa Jarocka, Jaquette Liljencrantz, Mikael Ridderström, Sumaiya Shaikh, Francis O'Neill, Dimah Saade, Sandra Donkervoort, A Reghan Foley, Jan Minde, Mats Trulsson, Jonathan Cole, Carsten G Bönnemann, Alexander T Chesler, M Catherine Bushnell, Francis McGlone, Håkan Olausson |
X Demographics
The data shown below were collected from the profiles of 88 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 Kingdom | 22 | 25% |
United States | 12 | 14% |
Sweden | 8 | 9% |
Canada | 5 | 6% |
India | 3 | 3% |
Spain | 2 | 2% |
Brazil | 1 | 1% |
Germany | 1 | 1% |
France | 1 | 1% |
Other | 4 | 5% |
Unknown | 29 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 66% |
Scientists | 23 | 26% |
Practitioners (doctors, other healthcare professionals) | 5 | 6% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 175 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 17% |
Researcher | 30 | 17% |
Student > Master | 21 | 12% |
Student > Bachelor | 19 | 11% |
Student > Doctoral Student | 12 | 7% |
Other | 28 | 16% |
Unknown | 35 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 48 | 27% |
Medicine and Dentistry | 17 | 10% |
Agricultural and Biological Sciences | 15 | 9% |
Biochemistry, Genetics and Molecular Biology | 13 | 7% |
Engineering | 8 | 5% |
Other | 27 | 15% |
Unknown | 47 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 181. 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 05 March 2024.
All research outputs
#221,423
of 25,411,814 outputs
Outputs from Science Advances
#1,810
of 12,253 outputs
Outputs of similar age
#4,302
of 362,524 outputs
Outputs of similar age from Science Advances
#42
of 322 outputs
Altmetric has tracked 25,411,814 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 12,253 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.1. This one has done well, scoring higher than 85% 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 362,524 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 322 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.