↓ Skip to main content

VCGDB: a dynamic genome database of the Chinese population

Overview of attention for article published in BMC Genomics, April 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
VCGDB: a dynamic genome database of the Chinese population
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-265
Pubmed ID
Authors

Yunchao Ling, Zhong Jin, Mingming Su, Jun Zhong, Yongbing Zhao, Jun Yu, Jiayan Wu, Jingfa Xiao

Abstract

The data released by the 1000 Genomes Project contain an increasing number of genome sequences from different nations and populations with a large number of genetic variations. As a result, the focus of human genome studies is changing from single and static to complex and dynamic. The currently available human reference genome (GRCh37) is based on sequencing data from 13 anonymous Caucasian volunteers, which might limit the scope of genomics, transcriptomics, epigenetics, and genome wide association studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Master 5 13%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Other 4 10%
Unknown 9 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 28%
Computer Science 7 18%
Agricultural and Biological Sciences 6 15%
Engineering 2 5%
Business, Management and Accounting 1 3%
Other 3 8%
Unknown 9 23%
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 30 June 2015.
All research outputs
#6,273,677
of 23,340,595 outputs
Outputs from BMC Genomics
#2,636
of 10,745 outputs
Outputs of similar age
#58,835
of 227,441 outputs
Outputs of similar age from BMC Genomics
#28
of 169 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 227,441 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 74% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.