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Genetic polymorphisms of PGF and TNFAIP2 genes related to cervical cancer risk among Uygur females from China

Overview of attention for article published in BMC Medical Genetics, October 2020
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Mentioned by

twitter
1 tweeter

Readers on

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2 Mendeley
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Title
Genetic polymorphisms of PGF and TNFAIP2 genes related to cervical cancer risk among Uygur females from China
Published in
BMC Medical Genetics, October 2020
DOI 10.1186/s12881-020-01144-5
Pubmed ID
Authors

Zumurelaiti Ainiwaer, Reyilanmu Maisaidi, Jing Liu, Lili Han, Sulaiya Husaiyin, Jing Lu, Mayinuer Niyazi

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Medicine and Dentistry 1 50%

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 09 January 2021.
All research outputs
#16,073,281
of 18,187,474 outputs
Outputs from BMC Medical Genetics
#771
of 972 outputs
Outputs of similar age
#350,094
of 416,365 outputs
Outputs of similar age from BMC Medical Genetics
#52
of 96 outputs
Altmetric has tracked 18,187,474 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 972 research outputs from this source. They receive a mean Attention Score of 3.6. 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 416,365 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 96 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.