| Title |
Integrating multiple oestrogen receptor alpha ChIP studies: overlap with disease susceptibility regions, DNase I hypersensitivity peaks and gene expression
|
|---|---|
| Published in |
BMC Medical Genomics, October 2013
|
| DOI | 10.1186/1755-8794-6-45 |
| Pubmed ID | |
| Authors |
Adam E Handel, Geir K Sandve, Giulio Disanto, Lahiru Handunnetthi, Gavin Giovannoni, Sreeram V Ramagopalan |
| Abstract |
A wealth of nuclear receptor binding data has been generated by the application of chromatin immunoprecipitation (ChIP) techniques. However, there have been relatively few attempts to apply these datasets to human complex disease or traits. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 20% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Agricultural and Biological Sciences | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Psychology | 3 | 7% |
| Neuroscience | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 10 | 23% |
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 27 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from BMC Medical Genomics
#858
of 1,218 outputs
Outputs of similar age
#158,109
of 212,652 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 20 outputs
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So far Altmetric has tracked 1,218 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.