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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating many co-splicing networks to reconstruct splicing regulatory modules
|
|---|---|
| Published in |
BMC Systems Biology, July 2012
|
| DOI | 10.1186/1752-0509-6-s1-s17 |
| Pubmed ID | |
| Authors |
Chao Dai, Wenyuan Li, Juan Liu, Xianghong Jasmine Zhou |
| Abstract |
Alternative splicing is a ubiquitous gene regulatory mechanism that dramatically increases the complexity of the proteome. However, the mechanism for regulating alternative splicing is poorly understood, and study of coordinated splicing regulation has been limited to individual cases. To study genome-wide splicing regulation, we integrate many human RNA-seq datasets to identify splicing module, which we define as a set of cassette exons co-regulated by the same splicing factors. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 40% |
| Researcher | 13 | 24% |
| Student > Master | 7 | 13% |
| Professor > Associate Professor | 3 | 5% |
| Professor | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 49% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 6 | 11% |
| Mathematics | 4 | 7% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 3 | 5% |
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 15 October 2012.
All research outputs
#18,317,537
of 22,681,577 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#125,800
of 163,504 outputs
Outputs of similar age from BMC Systems Biology
#30
of 38 outputs
Altmetric has tracked 22,681,577 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 163,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.