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DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI

Overview of attention for article published in Frontiers in Systems Neuroscience, May 2010
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Mentioned by

patent
2 patents

Citations

dimensions_citation
3065 Dimensions

Readers on

mendeley
924 Mendeley
citeulike
5 CiteULike
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Title
DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI
Published in
Frontiers in Systems Neuroscience, May 2010
DOI 10.3389/fnsys.2010.00013
Pubmed ID
Authors

Yan Chao-Gan, Zang Yu-Feng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 924 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 1%
Germany 9 <1%
United Kingdom 7 <1%
Netherlands 4 <1%
Spain 3 <1%
China 3 <1%
Hong Kong 1 <1%
Austria 1 <1%
Australia 1 <1%
Other 11 1%
Unknown 871 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 248 27%
Researcher 162 18%
Student > Master 128 14%
Student > Doctoral Student 49 5%
Student > Bachelor 46 5%
Other 144 16%
Unknown 147 16%
Readers by discipline Count As %
Psychology 196 21%
Neuroscience 171 19%
Medicine and Dentistry 112 12%
Engineering 62 7%
Agricultural and Biological Sciences 55 6%
Other 100 11%
Unknown 228 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 June 2022.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Frontiers in Systems Neuroscience
#658
of 1,412 outputs
Outputs of similar age
#39,736
of 105,921 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#1
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 51% 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 105,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them