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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
16 news outlets
twitter
89 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Readers on

mendeley
31 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 89 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 5 16%
Student > Master 5 16%
Professor 3 10%
Student > Bachelor 3 10%
Other 8 26%
Readers by discipline Count As %
Neuroscience 13 42%
Agricultural and Biological Sciences 8 26%
Medicine and Dentistry 3 10%
Unspecified 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 189. 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 12 September 2019.
All research outputs
#72,624
of 13,632,082 outputs
Outputs from Science Advances
#531
of 3,412 outputs
Outputs of similar age
#2,298
of 248,675 outputs
Outputs of similar age from Science Advances
#36
of 334 outputs
Altmetric has tracked 13,632,082 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 3,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.9. This one has done well, scoring higher than 84% 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 248,675 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 334 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.