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Attention Score in Context
Title |
Genetic factors underlying discordance in chromatin accessibility between monozygotic twins
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Published in |
Genome Biology, May 2014
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DOI | 10.1186/gb-2014-15-5-r72 |
Pubmed ID | |
Authors |
Kwoneel Kim, Hyo-Jeong Ban, Jungmin Seo, Kibaick Lee, Maryam Yavartanoo, Sang Cheol Kim, Kiejung Park, Seong Beom Cho, Jung Kyoon Choi |
Abstract |
Open chromatin is implicated in regulatory processes; thus, variations in chromatin structure may contribute to variations in gene expression and other phenotypes. In this work, we perform targeted deep sequencing for open chromatin, and array-based genotyping across the genomes of 72 monozygotic twins to identify genetic factors regulating co-twin discordance in chromatin accessibility. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 25% |
United States | 1 | 13% |
Canada | 1 | 13% |
United Kingdom | 1 | 13% |
France | 1 | 13% |
India | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Germany | 1 | 3% |
Korea, Republic of | 1 | 3% |
Unknown | 37 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 45% |
Researcher | 5 | 13% |
Student > Doctoral Student | 4 | 10% |
Student > Bachelor | 4 | 10% |
Professor > Associate Professor | 2 | 5% |
Other | 6 | 15% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 68% |
Biochemistry, Genetics and Molecular Biology | 7 | 18% |
Medicine and Dentistry | 2 | 5% |
Mathematics | 1 | 3% |
Sports and Recreations | 1 | 3% |
Other | 1 | 3% |
Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 October 2014.
All research outputs
#6,460,649
of 25,658,139 outputs
Outputs from Genome Biology
#3,071
of 4,498 outputs
Outputs of similar age
#56,160
of 240,838 outputs
Outputs of similar age from Genome Biology
#23
of 39 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 31st percentile – i.e., 31% 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 240,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.