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An open science resource for establishing reliability and reproducibility in functional connectomics

Overview of attention for article published in Scientific Data, December 2014
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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 (93rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
127 X users
facebook
8 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
372 Dimensions

Readers on

mendeley
285 Mendeley
citeulike
3 CiteULike
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Title
An open science resource for establishing reliability and reproducibility in functional connectomics
Published in
Scientific Data, December 2014
DOI 10.1038/sdata.2014.49
Pubmed ID
Authors

Xi-Nian Zuo, Jeffrey S Anderson, Pierre Bellec, Rasmus M Birn, Bharat B Biswal, Janusch Blautzik, John C.S Breitner, Randy L Buckner, Vince D Calhoun, F. Xavier Castellanos, Antao Chen, Bing Chen, Jiangtao Chen, Xu Chen, Stanley J Colcombe, William Courtney, R Cameron Craddock, Adriana Di Martino, Hao-Ming Dong, Xiaolan Fu, Qiyong Gong, Krzysztof J Gorgolewski, Ying Han, Ye He, Yong He, Erica Ho, Avram Holmes, Xiao-Hui Hou, Jeremy Huckins, Tianzi Jiang, Yi Jiang, William Kelley, Clare Kelly, Margaret King, Stephen M LaConte, Janet E Lainhart, Xu Lei, Hui-Jie Li, Kaiming Li, Kuncheng Li, Qixiang Lin, Dongqiang Liu, Jia Liu, Xun Liu, Yijun Liu, Guangming Lu, Jie Lu, Beatriz Luna, Jing Luo, Daniel Lurie, Ying Mao, Daniel S Margulies, Andrew R Mayer, Thomas Meindl, Mary E Meyerand, Weizhi Nan, Jared A Nielsen, David O’Connor, David Paulsen, Vivek Prabhakaran, Zhigang Qi, Jiang Qiu, Chunhong Shao, Zarrar Shehzad, Weijun Tang, Arno Villringer, Huiling Wang, Kai Wang, Dongtao Wei, Gao-Xia Wei, Xu-Chu Weng, Xuehai Wu, Ting Xu, Ning Yang, Zhi Yang, Yu-Feng Zang, Lei Zhang, Qinglin Zhang, Zhe Zhang, Zhiqiang Zhang, Ke Zhao, Zonglei Zhen, Yuan Zhou, Xing-Ting Zhu, Michael P Milham

X Demographics

X Demographics

The data shown below were collected from the profiles of 127 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 285 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Spain 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Australia 1 <1%
Italy 1 <1%
Germany 1 <1%
France 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 267 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 21%
Student > Ph. D. Student 57 20%
Professor > Associate Professor 25 9%
Student > Master 24 8%
Professor 18 6%
Other 64 22%
Unknown 36 13%
Readers by discipline Count As %
Neuroscience 57 20%
Psychology 52 18%
Engineering 24 8%
Computer Science 22 8%
Agricultural and Biological Sciences 21 7%
Other 54 19%
Unknown 55 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 30 October 2020.
All research outputs
#447,311
of 25,703,943 outputs
Outputs from Scientific Data
#147
of 3,412 outputs
Outputs of similar age
#5,183
of 370,223 outputs
Outputs of similar age from Scientific Data
#1
of 16 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done particularly well, scoring higher than 95% 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 370,223 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 16 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.