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Network neuroscience

Overview of attention for article published in Nature Neuroscience, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Citations

dimensions_citation
315 Dimensions

Readers on

mendeley
1460 Mendeley
citeulike
7 CiteULike
Title
Network neuroscience
Published in
Nature Neuroscience, March 2017
DOI 10.1038/nn.4502
Pubmed ID
Authors

Danielle S Bassett, Olaf Sporns

Abstract

Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We review emerging trends in network neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.

Twitter Demographics

The data shown below were collected from the profiles of 215 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1460 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Unknown 1459 100%
Readers by discipline Count As %
Psychology 1 <1%
Unknown 1459 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 141. 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 06 July 2019.
All research outputs
#102,340
of 13,393,427 outputs
Outputs from Nature Neuroscience
#261
of 4,285 outputs
Outputs of similar age
#4,732
of 258,178 outputs
Outputs of similar age from Nature Neuroscience
#12
of 67 outputs
Altmetric has tracked 13,393,427 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,285 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 93% 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 258,178 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 98% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.