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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inference of human affective states from psychophysiological measurements extracted under ecologically valid conditions
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2014
|
| DOI | 10.3389/fnins.2014.00286 |
| Pubmed ID | |
| Authors |
Alberto Betella, Riccardo Zucca, Ryszard Cetnarski, Alberto Greco, Antonio Lanatà, Daniele Mazzei, Alessandro Tognetti, Xerxes D. Arsiwalla, Pedro Omedas, Danilo De Rossi, Paul F. M. J. Verschure |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 29% |
| Netherlands | 3 | 21% |
| United Kingdom | 1 | 7% |
| Belgium | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 6% |
| Germany | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Unknown | 94 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 28% |
| Student > Ph. D. Student | 22 | 21% |
| Student > Master | 15 | 14% |
| Student > Bachelor | 6 | 6% |
| Professor | 3 | 3% |
| Other | 15 | 14% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 20% |
| Psychology | 18 | 17% |
| Engineering | 13 | 13% |
| Medicine and Dentistry | 9 | 9% |
| Neuroscience | 8 | 8% |
| Other | 18 | 17% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 December 2014.
All research outputs
#3,515,219
of 26,017,215 outputs
Outputs from Frontiers in Neuroscience
#2,752
of 11,682 outputs
Outputs of similar age
#37,309
of 267,300 outputs
Outputs of similar age from Frontiers in Neuroscience
#24
of 118 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 76% 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 267,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.