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Brainnetome: A new -ome to understand the brain and its disorders

Overview of attention for article published in NeuroImage, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
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14 X users

Citations

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79 Dimensions

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319 Mendeley
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Title
Brainnetome: A new -ome to understand the brain and its disorders
Published in
NeuroImage, April 2013
DOI 10.1016/j.neuroimage.2013.04.002
Pubmed ID
Authors

Tianzi Jiang

Abstract

The human brain can be studied as a hierarchy of complex networks on different temporal and spatial scales. On each scale, from gene, protein, synapse, neuron and microcircuit, to area, pathway and the whole brain, many advances have been made with the development of related techniques. Brain network studies on different temporal and spatial scales are booming. However, such studies have focused on single levels, and can only reflect limited aspects of how the brain is formed and how it works. Therefore, it is increasingly urgent to integrate a variety of techniques, methods and models, and to merge fragmented findings into a uniform research framework or platform. To this end, we have proposed the concept of the brainnetome and several related programs/projects have been launched in China. In this paper, we offer a brief review on the methodologies of the brainnetome, which include techniques on different scales, the brainnetome atlas, and methods of brain network analysis. We then take Alzheimer's disease and schizophrenia as examples to show how the brainnetome can be studied in neurological and psychiatric disorders. We also review the studies of how risk genes for brain diseases affect the brain networks. Finally, we summarize the challenges for the brainnetome, and what actions and measures have been taken to address these challenges in China. It is envisioned that the brainnetome will open new avenues and some long-standing issues may be solved by combining the brainnetome with other "omes".

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
United Kingdom 5 2%
Germany 4 1%
Spain 3 <1%
Canada 3 <1%
Japan 2 <1%
China 2 <1%
Austria 1 <1%
Italy 1 <1%
Other 3 <1%
Unknown 288 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 24%
Researcher 69 22%
Student > Master 31 10%
Professor > Associate Professor 27 8%
Student > Bachelor 18 6%
Other 61 19%
Unknown 38 12%
Readers by discipline Count As %
Neuroscience 62 19%
Psychology 56 18%
Medicine and Dentistry 44 14%
Agricultural and Biological Sciences 36 11%
Engineering 26 8%
Other 41 13%
Unknown 54 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 08 April 2015.
All research outputs
#1,506,230
of 25,374,917 outputs
Outputs from NeuroImage
#1,019
of 12,205 outputs
Outputs of similar age
#11,788
of 212,523 outputs
Outputs of similar age from NeuroImage
#13
of 215 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 91% of its peers.
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 212,523 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.