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Diffusion tensor imaging predicting neurological repair of spinal cord injury with transplanting collagen/chitosan scaffold binding bFGF

Overview of attention for article published in Journal of Materials Science: Materials in Medicine, November 2019
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Title
Diffusion tensor imaging predicting neurological repair of spinal cord injury with transplanting collagen/chitosan scaffold binding bFGF
Published in
Journal of Materials Science: Materials in Medicine, November 2019
DOI 10.1007/s10856-019-6322-y
Pubmed ID
Authors

Xiao-Yin Liu, Jun Liang, Yi Wang, Lin Zhong, Chang-Yu Zhao, Meng-Guang Wei, Jing-Jing Wang, Xiao-Zhe Sun, Ke-Qiang Wang, Jing-Hao Duan, Chong Chen, Yue Tu, Sai Zhang, Dong Ming, Xiao-Hong Li

Twitter Demographics

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Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 November 2019.
All research outputs
#10,963,312
of 13,804,624 outputs
Outputs from Journal of Materials Science: Materials in Medicine
#712
of 861 outputs
Outputs of similar age
#150,948
of 209,241 outputs
Outputs of similar age from Journal of Materials Science: Materials in Medicine
#1
of 2 outputs
Altmetric has tracked 13,804,624 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 861 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 11th percentile – i.e., 11% 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 209,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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