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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells
|
---|---|
Published in |
BMC Genomics, May 2014
|
DOI | 10.1186/1471-2164-15-360 |
Pubmed ID | |
Authors |
Yeonok Lee, Debashis Ghosh, Yu Zhang |
Abstract |
Studies have shown the strong association between histone modification levels and gene expression levels. The detailed relationships between the two can vary substantially due to differential regulation, and hence a simple regression model may not be adequate. We apply a regression hidden Markov model (regHMM) to further investigate the potential multiple relationships between genes and histone methylation levels in mouse embryonic stem cells. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 9% |
Germany | 1 | 9% |
Unknown | 9 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 27% |
Professor > Associate Professor | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Master | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 2 | 18% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 27% |
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Computer Science | 2 | 18% |
Nursing and Health Professions | 1 | 9% |
Chemistry | 1 | 9% |
Other | 1 | 9% |
Unknown | 1 | 9% |
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 19 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from BMC Genomics
#8,165
of 10,637 outputs
Outputs of similar age
#164,019
of 227,162 outputs
Outputs of similar age from BMC Genomics
#128
of 197 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 227,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.