| Title |
Depressive symptoms bias the prediction-error enhancement of memory towards negative events in reinforcement learning
|
|---|---|
| Published in |
Psychopharmacology, July 2019
|
| DOI | 10.1007/s00213-019-05322-z |
| Pubmed ID | |
| Authors |
Nina Rouhani, Yael Niv |
X Demographics
The data shown below were collected from the profiles of 62 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 | 29% |
| United Kingdom | 6 | 10% |
| Canada | 3 | 5% |
| Australia | 2 | 3% |
| Netherlands | 2 | 3% |
| Germany | 2 | 3% |
| Taiwan | 1 | 2% |
| Unknown | 28 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 50% |
| Members of the public | 29 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
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 % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Researcher | 18 | 17% |
| Student > Master | 18 | 17% |
| Student > Bachelor | 11 | 10% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 12% |
| Unknown | 24 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 32% |
| Neuroscience | 20 | 19% |
| Agricultural and Biological Sciences | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Decision Sciences | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 31 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 30 March 2020.
All research outputs
#1,084,510
of 24,980,180 outputs
Outputs from Psychopharmacology
#280
of 5,588 outputs
Outputs of similar age
#23,299
of 352,629 outputs
Outputs of similar age from Psychopharmacology
#3
of 44 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 95% 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 352,629 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 93% of its contemporaries.
We're also able to compare this research output to 44 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 95% of its contemporaries.