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Novel mutations of PKD genes in Chinese patients suffering from autosomal dominant polycystic kidney disease and seeking assisted reproduction

Overview of attention for article published in BMC Medical Genomics, October 2018
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1 X user

Citations

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29 Mendeley
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Title
Novel mutations of PKD genes in Chinese patients suffering from autosomal dominant polycystic kidney disease and seeking assisted reproduction
Published in
BMC Medical Genomics, October 2018
DOI 10.1186/s12881-018-0693-7
Pubmed ID
Authors

Wen-Bin He, Wen-Juan Xiao, Yue-Qiu Tan, Xiao-Meng Zhao, Wen Li, Qian-Jun Zhang, Chang-Gao Zhong, Xiu-Rong Li, Liang Hu, Guang-Xiu Lu, Ge Lin, Juan Du

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Other 3 10%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 24%
Medicine and Dentistry 7 24%
Nursing and Health Professions 1 3%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 10 34%
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 19 October 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#314,874
of 359,271 outputs
Outputs of similar age from BMC Medical Genomics
#41
of 52 outputs
Altmetric has tracked 25,385,509 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 359,271 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 52 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.