↓ Skip to main content

Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography

Overview of attention for article published in Frontiers in Neuroscience, January 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
12 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
Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography
Published in
Frontiers in Neuroscience, January 2020
DOI 10.3389/fnins.2020.00032
Pubmed ID
Authors

Takatsugu Aihara, Takeaki Shimokawa, Takeshi Ogawa, Yuto Okada, Akihiro Ishikawa, Yoshihiro Inoue, Okito Yamashita

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 > Ph. D. Student 7 23%
Researcher 5 17%
Student > Bachelor 4 13%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 7 23%
Readers by discipline Count As %
Neuroscience 6 20%
Engineering 3 10%
Psychology 3 10%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 3%
Other 6 20%
Unknown 9 30%
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 09 February 2020.
All research outputs
#16,481,368
of 26,456,908 outputs
Outputs from Frontiers in Neuroscience
#7,025
of 11,883 outputs
Outputs of similar age
#266,205
of 480,408 outputs
Outputs of similar age from Frontiers in Neuroscience
#197
of 300 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 38th percentile – i.e., 38% 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 480,408 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 300 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.