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An ultrafast system for signaling mechanical pain in human skin

Overview of attention for article published in Science Advances, July 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
16 news outlets
twitter
88 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
175 Mendeley
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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

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.
Mendeley readers

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

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.