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Connectivity-Based Parcellation of the Human Posteromedial Cortex

Overview of attention for article published in Cerebral Cortex, November 2012
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Title
Connectivity-Based Parcellation of the Human Posteromedial Cortex
Published in
Cerebral Cortex, November 2012
DOI 10.1093/cercor/bhs353
Pubmed ID
Authors

Y. Zhang, L. Fan, Y. Zhang, J. Wang, M. Zhu, Y. Zhang, C. Yu, T. Jiang

Abstract

Regional structural and functional variations in the posteromedial cortex (PMC) have been found in both animals and humans, strongly suggesting the presence of subdivisions. However, there is no consensus on how to subdivide the human PMC. Here, we investigated the anatomical parcellation scheme and the connectivity pattern of each subdivision of the human PMC using diffusion tensor imaging data from 2 independent groups of volunteers. The parcellation analyses of the 2 datasets consistently demonstrated that the human PMC can be parcellated into 5 subregions. The dorsal portion of the PMC was subdivided into anterior, central, and posterior subregions, which participate in sensorimotor, associative, and visual functions. The ventral PMC contained a transitional region in the dorsal portion and a ventral subregion that is the core of the default mode network. The parcellation results for the human PMC and its anatomical connectivity patterns were further supported by evidence from the macaque PMC. Furthermore, functional connectivity analysis revealed that each subregion exhibited a specific pattern similar to that of its anatomical connectivity. The proposed parcellation scheme may facilitate the study of the human PMC at a subtler level and improve our understanding of its functions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 2 1%
Italy 2 1%
Canada 1 <1%
France 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 23%
Researcher 28 21%
Student > Master 17 13%
Student > Doctoral Student 11 8%
Professor > Associate Professor 11 8%
Other 20 15%
Unknown 16 12%
Readers by discipline Count As %
Psychology 31 23%
Neuroscience 26 19%
Agricultural and Biological Sciences 19 14%
Medicine and Dentistry 15 11%
Engineering 8 6%
Other 7 5%
Unknown 28 21%
Attention Score in Context

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 22 January 2015.
All research outputs
#14,366,444
of 24,143,470 outputs
Outputs from Cerebral Cortex
#3,162
of 5,016 outputs
Outputs of similar age
#101,754
of 183,359 outputs
Outputs of similar age from Cerebral Cortex
#44
of 72 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,016 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 34th percentile – i.e., 34% 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 183,359 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 72 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.