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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictive Dynamics of Human Pain Perception
|
|---|---|
| Published in |
PLoS Computational Biology, October 2012
|
| DOI | 10.1371/journal.pcbi.1002719 |
| Pubmed ID | |
| Authors |
Guillermo A. Cecchi, Lejian Huang, Javeria Ali Hashmi, Marwan Baliki, María V. Centeno, Irina Rish, A. Vania Apkarian |
| Abstract |
While the static magnitude of thermal pain perception has been shown to follow a power-law function of the temperature, its dynamical features have been largely overlooked. Due to the slow temporal experience of pain, multiple studies now show that the time evolution of its magnitude can be captured with continuous online ratings. Here we use such ratings to model quantitatively the temporal dynamics of thermal pain perception. We show that a differential equation captures the details of the temporal evolution in pain ratings in individual subjects for different stimulus pattern complexities, and also demonstrates strong predictive power to infer pain ratings, including readouts based only on brain functional images. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 100 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Researcher | 21 | 20% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Other | 20 | 19% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 18% |
| Neuroscience | 17 | 16% |
| Medicine and Dentistry | 14 | 13% |
| Agricultural and Biological Sciences | 12 | 11% |
| Computer Science | 9 | 8% |
| Other | 19 | 18% |
| Unknown | 16 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 31 January 2021.
All research outputs
#847,425
of 25,844,183 outputs
Outputs from PLoS Computational Biology
#625
of 9,053 outputs
Outputs of similar age
#4,767
of 202,893 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 113 outputs
Altmetric has tracked 25,844,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 93% 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 202,893 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 97% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.