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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Information maintenance in working memory: an integrated presentation of cognitive and neural concepts
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, July 2015
|
| DOI | 10.3389/fnsys.2015.00104 |
| Pubmed ID | |
| Authors |
Markus Martini, Marco R. Furtner, Thomas Maran, Pierre Sachse |
| Abstract |
Working memory (WM) maintains information in a state that it is available for processing. A host of various concepts exist which define this core function at different levels of abstraction. The present article intended to bring together existing cognitive and neural explanatory approaches about the architecture and neural mechanisms of information maintenance in WM. For this, we highlight how existing WM concepts define information retention and present different methodological approaches which led to the assumption that information can exist in various components and states. This view is broadened by neural concepts focussing on various forms of phase synchronization and molecular biological mechanisms relevant for retaining information in an active state. An integrated presentation of different concepts and methodological approaches can deepen our understanding of this central WM function. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 26% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Master | 8 | 13% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 35% |
| Neuroscience | 9 | 15% |
| Agricultural and Biological Sciences | 4 | 6% |
| Computer Science | 3 | 5% |
| Philosophy | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 14 | 23% |
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 20 October 2015.
All research outputs
#14,818,336
of 22,817,213 outputs
Outputs from Frontiers in Systems Neuroscience
#888
of 1,342 outputs
Outputs of similar age
#144,814
of 262,658 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#20
of 38 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 29th percentile – i.e., 29% 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 262,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.