| Title |
The Protective Action Encoding of Serotonin Transients in the Human Brain
|
|---|---|
| Published in |
Neuropsychopharmacology, January 2018
|
| DOI | 10.1038/npp.2017.304 |
| Pubmed ID | |
| Authors |
Rosalyn J Moran, Kenneth T Kishida, Terry Lohrenz, Ignacio Saez, Adrian W Laxton, Mark R Witcher, Stephen B Tatter, Thomas L Ellis, Paul EM Phillips, Peter Dayan, P Read Montague |
X Demographics
The data shown below were collected from the profiles of 118 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 States | 18 | 15% |
| United Kingdom | 17 | 14% |
| Australia | 6 | 5% |
| Netherlands | 4 | 3% |
| Switzerland | 3 | 3% |
| Canada | 3 | 3% |
| Sweden | 3 | 3% |
| Mexico | 3 | 3% |
| Belgium | 2 | 2% |
| Other | 10 | 8% |
| Unknown | 49 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 85 | 72% |
| Scientists | 24 | 20% |
| Practitioners (doctors, other healthcare professionals) | 7 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 198 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 25% |
| Researcher | 25 | 13% |
| Student > Bachelor | 16 | 8% |
| Student > Master | 15 | 8% |
| Student > Doctoral Student | 14 | 7% |
| Other | 29 | 15% |
| Unknown | 50 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 56 | 28% |
| Psychology | 20 | 10% |
| Engineering | 11 | 6% |
| Chemistry | 11 | 6% |
| Agricultural and Biological Sciences | 10 | 5% |
| Other | 30 | 15% |
| Unknown | 60 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 166. 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 13 May 2024.
All research outputs
#251,983
of 25,934,224 outputs
Outputs from Neuropsychopharmacology
#107
of 5,233 outputs
Outputs of similar age
#5,583
of 454,331 outputs
Outputs of similar age from Neuropsychopharmacology
#2
of 77 outputs
Altmetric has tracked 25,934,224 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 5,233 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 97% 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 454,331 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 77 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 97% of its contemporaries.