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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors
|
|---|---|
| Published in |
BMC Systems Biology, December 2013
|
| DOI | 10.1186/1752-0509-7-s6-s9 |
| Pubmed ID | |
| Authors |
Kyung-Ah Sohn, Dokyoon Kim, Jaehyun Lim, Ju Han Kim |
| Abstract |
The emerging multi-layers of genomic data have provided unprecedented opportunities for cancer research, especially for the association study between gene expressions and other types of genomic features. No previous approaches, however, provide an adequate statistical framework for or global analysis on the relative impact of different genomic feature layers to gene expression phenotypes. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 32% |
| Professor > Associate Professor | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 41% |
| Computer Science | 6 | 27% |
| Medicine and Dentistry | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 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 07 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#267,426
of 307,483 outputs
Outputs of similar age from BMC Systems Biology
#54
of 61 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 307,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.