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Mendeley readers
Attention Score in Context
| Title |
Static and dynamic characteristics of cerebral blood flow during the resting state
|
|---|---|
| Published in |
NeuroImage, July 2009
|
| DOI | 10.1016/j.neuroimage.2009.07.006 |
| Pubmed ID | |
| Authors |
Qihong Zou, Changwei W. Wu, Elliot A. Stein, Yufeng Zang, Yihong Yang |
| Abstract |
In this study, the static and dynamic characteristics of cerebral blood flow (CBF) in the resting state were investigated using an arterial spin labeling (ASL) perfusion imaging technique. Consistent with previous PET results, static CBF measured by ASL was significantly higher in the posterior cingulate cortex (PCC), thalamus, insula/superior temporal gyrus (STG) and medial prefrontal cortex (MPFC) than the average CBF of the brain. The dynamic measurement of CBF fluctuations showed high correlation (functional connectivity) between components in the default mode network. These brain regions also had high local temporal synchrony and high fluctuation amplitude, as measured by regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) analyses. The spatial pattern of the static CBF correlated well with that of the dynamic indices. The high static and dynamic activities in the PCC, MPFC, insula/STG and thalamus suggest that these regions play a vital role in maintaining and facilitating fundamental brain functions. |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| Germany | 3 | 1% |
| United Kingdom | 3 | 1% |
| Canada | 3 | 1% |
| Japan | 2 | <1% |
| Austria | 1 | <1% |
| Finland | 1 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 213 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 24% |
| Researcher | 56 | 24% |
| Student > Master | 31 | 13% |
| Professor > Associate Professor | 23 | 10% |
| Other | 11 | 5% |
| Other | 36 | 15% |
| Unknown | 23 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 41 | 17% |
| Medicine and Dentistry | 41 | 17% |
| Agricultural and Biological Sciences | 30 | 13% |
| Psychology | 29 | 12% |
| Engineering | 28 | 12% |
| Other | 27 | 11% |
| Unknown | 41 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 October 2012.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from NeuroImage
#11,625
of 12,205 outputs
Outputs of similar age
#117,826
of 122,368 outputs
Outputs of similar age from NeuroImage
#86
of 90 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 1st percentile – i.e., 1% 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 122,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.