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microRNAs’ differential regulations mediate the progress of Human Papillomavirus (HPV)-induced Cervical Intraepithelial Neoplasia (CIN)

Overview of attention for article published in BMC Systems Biology, February 2015
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Title
microRNAs’ differential regulations mediate the progress of Human Papillomavirus (HPV)-induced Cervical Intraepithelial Neoplasia (CIN)
Published in
BMC Systems Biology, February 2015
DOI 10.1186/s12918-015-0145-3
Pubmed ID
Authors

Wenjuan Mo, Chao Tong, Yan Zhang, Hong Lu

Abstract

microRNA (miRNA)'s direct regulation on target mRNA is affected by complex factors beyond miRNA. Therefore, at different stages during the course of carcinogenesis, miRNA may regulate different targets, which we termed 'miRNA's differential regulation'. HPV-induced cervical intraepithelial neoplasia (CIN) is an important pre-cancerous course ahead of cervical cancer formation. Currently, the molecular mechanisms of CIN progress remain poorly understood, and it is interesting to unravel this from the perspective of miRNA differential regulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Student > Ph. D. Student 5 16%
Researcher 4 13%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 6 19%
Computer Science 2 6%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2015.
All research outputs
#14,214,321
of 22,787,797 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#187,576
of 352,559 outputs
Outputs of similar age from BMC Systems Biology
#14
of 34 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 352,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.