↓ Skip to main content

N6-methyladenosine methyltransferase METTL3 affects the phenotype of cerebral arteriovenous malformation via modulating Notch signaling pathway

Overview of attention for article published in Journal of Biomedical Science, May 2020
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
39 Dimensions

Readers on

mendeley
25 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
N6-methyladenosine methyltransferase METTL3 affects the phenotype of cerebral arteriovenous malformation via modulating Notch signaling pathway
Published in
Journal of Biomedical Science, May 2020
DOI 10.1186/s12929-020-00655-w
Pubmed ID
Authors

Lin-jian Wang, Yimeng Xue, Ran Huo, Zihan Yan, Hongyuan Xu, Hao Li, Jia Wang, Qian Zhang, Yong Cao, Ji-zong Zhao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Student > Ph. D. Student 3 12%
Other 2 8%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 10 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 20%
Medicine and Dentistry 4 16%
Unspecified 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 11 44%
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 10 May 2020.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from Journal of Biomedical Science
#773
of 1,111 outputs
Outputs of similar age
#273,034
of 419,307 outputs
Outputs of similar age from Journal of Biomedical Science
#12
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 23rd percentile – i.e., 23% 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 419,307 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 19 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.