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X Demographics
Mendeley readers
Attention Score in Context
Title |
Stem Cell-Friendly Scaffold Biomaterials: Applications for Bone Tissue Engineering and Regenerative Medicine
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, December 2020
|
DOI | 10.3389/fbioe.2020.598607 |
Pubmed ID | |
Authors |
Yongtao Zhang, Di Wu, Xia Zhao, Mikhail Pakvasa, Andrew Blake Tucker, Huaxiu Luo, Kevin H. Qin, Daniel A. Hu, Eric J. Wang, Alexander J. Li, Meng Zhang, Yukun Mao, Maya Sabharwal, Fang He, Changchun Niu, Hao Wang, Linjuan Huang, Deyao Shi, Qing Liu, Na Ni, Kai Fu, Connie Chen, William Wagstaff, Russell R. Reid, Aravind Athiviraham, Sherwin Ho, Michael J. Lee, Kelly Hynes, Jason Strelzow, Tong-Chuan He, Mostafa El Dafrawy |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 160 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 11% |
Student > Bachelor | 13 | 8% |
Student > Master | 12 | 8% |
Researcher | 8 | 5% |
Student > Doctoral Student | 8 | 5% |
Other | 22 | 14% |
Unknown | 79 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 9% |
Medicine and Dentistry | 14 | 9% |
Engineering | 8 | 5% |
Chemistry | 7 | 4% |
Materials Science | 7 | 4% |
Other | 22 | 14% |
Unknown | 87 | 54% |
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 14 December 2020.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,746
of 6,932 outputs
Outputs of similar age
#431,159
of 506,222 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#249
of 345 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,932 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 506,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.