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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling miRNA-mRNA interactions: fitting chemical kinetics equations to microarray data
|
|---|---|
| Published in |
BMC Systems Biology, February 2014
|
| DOI | 10.1186/1752-0509-8-19 |
| Pubmed ID | |
| Authors |
Zijun Luo, Robert Azencott, Yi Zhao |
| Abstract |
The miRNAs are small non-coding RNAs of roughly 22 nucleotides in length, which can bind with and inhibit protein coding mRNAs through complementary base pairing. By degrading mRNAs and repressing proteins, miRNAs regulate the cell signaling and cell functions. This paper focuses on innovative mathematical techniques to model gene interactions by algorithmic analysis of microarray data. Our goal was to elucidate which mRNAs were actually degraded or had their translation inhibited by miRNAs belonging to a very large pool of potential miRNAs. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 27% |
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 30% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 4 | 13% |
| Engineering | 2 | 7% |
| Computer Science | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 February 2014.
All research outputs
#16,737,737
of 25,394,764 outputs
Outputs from BMC Systems Biology
#613
of 1,132 outputs
Outputs of similar age
#140,070
of 238,894 outputs
Outputs of similar age from BMC Systems Biology
#20
of 39 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 42nd percentile – i.e., 42% 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 238,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.