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DNA methylation study of fetus genome through a genome-wide analysis

Overview of attention for article published in BMC Medical Genomics, April 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
33 Mendeley
citeulike
1 CiteULike
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Title
DNA methylation study of fetus genome through a genome-wide analysis
Published in
BMC Medical Genomics, April 2014
DOI 10.1186/1755-8794-7-18
Pubmed ID
Authors

Hong-Dan Wang, Qiao-Fang Hou, Qian-Nan Guo, Tao Li, Dong Wu, Xian-Ping Zhang, Yan Chu, Miao He, Hai Xiao, Liang-Jie Guo, Ke Yang, Shi-Xiu Liao, Bo-Feng Zhu

Abstract

DNA methylation is a crucial epigenetic modification of the genome which is involved in embryonic development, transcription, chromatin structure, X chromosome inactivation, genomic imprinting and chromosome stability. Consistent with these important roles, DNA methylation has been demonstrated to be required for vertebrate early embryogenesis and essential for regulating temporal and spatial expression of genes controlling cell fate and differentiation. Further studies have shown that abnormal DNA methylation is associated with human diseases including the embryonic development diseases. We attempt to study the DNA methylation status of CpG islands in fetus related to fetus growth and development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Italy 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 27%
Student > Ph. D. Student 7 21%
Professor > Associate Professor 4 12%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 24%
Medicine and Dentistry 7 21%
Biochemistry, Genetics and Molecular Biology 5 15%
Nursing and Health Professions 2 6%
Neuroscience 2 6%
Other 6 18%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 November 2022.
All research outputs
#6,731,570
of 23,881,329 outputs
Outputs from BMC Medical Genomics
#297
of 1,268 outputs
Outputs of similar age
#62,635
of 229,029 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 19 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,268 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% of its peers.
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 229,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
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 has gotten more attention than average, scoring higher than 73% of its contemporaries.