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In silico analysis of non-synonymous single nucleotide polymorphisms (nsSNPs) in the human GJA3 gene associated with congenital cataract

Overview of attention for article published in BMC Molecular and Cell Biology, March 2020
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Mentioned by

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1 tweeter

Citations

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22 Dimensions

Readers on

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40 Mendeley
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Title
In silico analysis of non-synonymous single nucleotide polymorphisms (nsSNPs) in the human GJA3 gene associated with congenital cataract
Published in
BMC Molecular and Cell Biology, March 2020
DOI 10.1186/s12860-020-00252-7
Pubmed ID
Authors

Mingzhou Zhang, Chen Huang, Zhenyu Wang, Huibin Lv, Xuemin Li

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Bachelor 5 13%
Student > Master 4 10%
Lecturer 1 3%
Other 1 3%
Other 2 5%
Unknown 16 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 45%
Agricultural and Biological Sciences 3 8%
Chemistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 14 35%

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 12 November 2020.
All research outputs
#15,522,414
of 19,368,131 outputs
Outputs from BMC Molecular and Cell Biology
#73
of 119 outputs
Outputs of similar age
#290,415
of 387,925 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#35
of 51 outputs
Altmetric has tracked 19,368,131 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 119 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 26th percentile – i.e., 26% 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 387,925 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 51 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.