↓ Skip to main content

Inverse design of anisotropic bone scaffold based on machine learning and regenerative genetic algorithm

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, September 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 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
Inverse design of anisotropic bone scaffold based on machine learning and regenerative genetic algorithm
Published in
Frontiers in Bioengineering and Biotechnology, September 2023
DOI 10.3389/fbioe.2023.1241151
Pubmed ID
Authors

Wenhang Liu, Youwei Zhang, Yongtao Lyu, Sergei Bosiakov, Yadong Liu

X Demographics

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.
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 6 46%
Readers by discipline Count As %
Engineering 4 31%
Linguistics 1 8%
Arts and Humanities 1 8%
Materials Science 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 5 38%
Attention Score in Context

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 September 2023.
All research outputs
#21,654,724
of 26,586,231 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,357
of 8,836 outputs
Outputs of similar age
#265,157
of 365,808 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#107
of 376 outputs
Altmetric has tracked 26,586,231 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,836 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 30th percentile – i.e., 30% 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 365,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 376 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.