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Attention Score in Context
| Title |
Changes in global and regional modularity associated with increasing working memory load
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, December 2014
|
| DOI | 10.3389/fnhum.2014.00954 |
| Pubmed ID | |
| Authors |
Matthew L. Stanley, Dale Dagenbach, Robert G. Lyday, Jonathan H. Burdette, Paul J. Laurienti |
| Abstract |
Using graph theory measures common to complex network analyses of neuroimaging data, the objective of this study was to explore the effects of increasing working memory processing load on functional brain network topology in a cohort of young adults. Measures of modularity in complex brain networks quantify how well a network is organized into densely interconnected communities. We investigated changes in both the large-scale modular organization of the functional brain network as a whole and regional changes in modular organization as demands on working memory increased from n = 1 to n = 2 on the standard n-back task. We further investigated the relationship between modular properties across working memory load conditions and behavioral performance. Our results showed that regional modular organization within the default mode and working memory circuits significantly changed from 1-back to 2-back task conditions. However, the regional modular organization was not associated with behavioral performance. Global measures of modular organization did not change with working memory load but were associated with individual variability in behavioral performance. These findings indicate that regional and global network properties are modulated by different aspects of working memory under increasing load conditions. These findings highlight the importance of assessing multiple features of functional brain network topology at both global and regional scales rather than focusing on a single network property. |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 84 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 16 | 19% |
| Researcher | 15 | 17% |
| Student > Postgraduate | 6 | 7% |
| Other | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 24% |
| Neuroscience | 20 | 23% |
| Agricultural and Biological Sciences | 7 | 8% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 23 | 27% |
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 11 November 2014.
All research outputs
#14,222,096
of 23,577,761 outputs
Outputs from Frontiers in Human Neuroscience
#4,291
of 7,319 outputs
Outputs of similar age
#187,744
of 365,438 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#133
of 200 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 40th percentile – i.e., 40% 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 365,438 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.