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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Regulatory coordination of clustered microRNAs based on microRNA-transcription factor regulatory network
|
|---|---|
| Published in |
BMC Systems Biology, December 2011
|
| DOI | 10.1186/1752-0509-5-199 |
| Pubmed ID | |
| Authors |
Jin Wang, Martin Haubrock, Kun-Ming Cao, Xu Hua, Chen-Yu Zhang, Edgar Wingender, Jie Li |
| Abstract |
MicroRNA (miRNA) is a class of small RNAs of ~22nt which play essential roles in many crucial biological processes and numerous human diseases at post-transcriptional level of gene expression. It has been revealed that miRNA genes tend to be clustered, and the miRNAs organized into one cluster are usually transcribed coordinately. This implies a coordinated regulation mode exerted by clustered miRNAs. However, how the clustered miRNAs coordinate their regulations on large scale gene expression is still unclear. |
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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| Chile | 1 | 1% |
| Turkey | 1 | 1% |
| Finland | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 87 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 36% |
| Researcher | 18 | 19% |
| Student > Master | 15 | 16% |
| Professor > Associate Professor | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Other | 9 | 9% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 44% |
| Biochemistry, Genetics and Molecular Biology | 28 | 29% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 8 | 8% |
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 16 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from BMC Systems Biology
#835
of 1,142 outputs
Outputs of similar age
#195,305
of 241,496 outputs
Outputs of similar age from BMC Systems Biology
#40
of 50 outputs
Altmetric has tracked 22,659,164 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 241,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 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.