↓ Skip to main content

Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics

Overview of attention for article published in Frontiers in Physiology, January 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics
Published in
Frontiers in Physiology, January 2021
DOI 10.3389/fphys.2020.595736
Pubmed ID
Authors

Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels, Daniele Marinazzo

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Student > Ph. D. Student 5 17%
Researcher 4 13%
Student > Bachelor 1 3%
Unspecified 1 3%
Other 3 10%
Unknown 10 33%
Readers by discipline Count As %
Engineering 5 17%
Neuroscience 5 17%
Mathematics 3 10%
Psychology 2 7%
Business, Management and Accounting 1 3%
Other 4 13%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 March 2023.
All research outputs
#7,929,510
of 25,457,297 outputs
Outputs from Frontiers in Physiology
#3,800
of 15,662 outputs
Outputs of similar age
#187,995
of 524,110 outputs
Outputs of similar age from Frontiers in Physiology
#135
of 457 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 15,662 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 75% 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 524,110 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 457 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.