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De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability

Overview of attention for article published in Human Genomics, November 2022
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2 X users

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17 Mendeley
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Title
De novo mutations within metabolism networks of amino acid/protein/energy in Chinese autistic children with intellectual disability
Published in
Human Genomics, November 2022
DOI 10.1186/s40246-022-00427-7
Pubmed ID
Authors

Wen-Xiong Chen, Bin Liu, Lijie Zhou, Xiaoli Xiong, Jie Fu, Zhi-Fang Huang, Ting Tan, Mingxi Tang, Jun Wang, Ya-Ping Tang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 12%
Student > Bachelor 1 6%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 11 65%
Readers by discipline Count As %
Psychology 2 12%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Neuroscience 1 6%
Unknown 12 71%
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 04 November 2022.
All research outputs
#20,166,456
of 25,654,806 outputs
Outputs from Human Genomics
#444
of 571 outputs
Outputs of similar age
#308,532
of 442,170 outputs
Outputs of similar age from Human Genomics
#17
of 22 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 571 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 17th percentile – i.e., 17% 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 442,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.