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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Updating memories—The role of prediction errors in memory reconsolidation
|
|---|---|
| Published in |
Behavioural Brain Research, October 2014
|
| DOI | 10.1016/j.bbr.2014.10.011 |
| Pubmed ID | |
| Authors |
Marc T.J. Exton-McGuinness, Jonathan L.C. Lee, Amy C. Reichelt |
| Abstract |
Memories are not static imprints of past experience, but rather are dynamic entities which enable us to predict outcomes of future situations and inform appropriate behaviours. In order to maintain the relevance of existing memories to our daily lives, memories can be updated with new information via a process of reconsolidation. In this review we describe recent experimental advances in the reconsolidation of both appetitive and aversive memory, and explore the neuronal mechanisms that underpin the conditions under which reconsolidation will occur. We propose that a prediction error signal, originating from dopaminergic midbrain neurons, is necessary for destabilisation and subsequent reconsolidation of a memory. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| France | 2 | <1% |
| Switzerland | 1 | <1% |
| Ghana | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 240 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 19% |
| Student > Master | 41 | 17% |
| Student > Bachelor | 40 | 16% |
| Researcher | 30 | 12% |
| Student > Doctoral Student | 12 | 5% |
| Other | 32 | 13% |
| Unknown | 46 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 90 | 36% |
| Neuroscience | 43 | 17% |
| Agricultural and Biological Sciences | 28 | 11% |
| Medicine and Dentistry | 7 | 3% |
| Computer Science | 3 | 1% |
| Other | 14 | 6% |
| Unknown | 62 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 October 2014.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Behavioural Brain Research
#2,863
of 4,975 outputs
Outputs of similar age
#147,463
of 273,239 outputs
Outputs of similar age from Behavioural Brain Research
#29
of 78 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,975 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 273,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.