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Mendeley readers
Attention Score in Context
| Title |
Combinatorial network of transcriptional regulation and microRNA regulation in human cancer
|
|---|---|
| Published in |
BMC Systems Biology, June 2012
|
| DOI | 10.1186/1752-0509-6-61 |
| Pubmed ID | |
| Authors |
Hui Yu, Kang Tu, Yi-Jie Wang, Jun-Zhe Mao, Lu Xie, Yuan-Yuan Li, Yi-Xue Li |
| Abstract |
Both transcriptional control and microRNA (miRNA) control are critical regulatory mechanisms for cells to direct their destinies. At present, the combinatorial regulatory network composed of transcriptional regulations and post-transcriptional regulations is often constructed through a forward engineering strategy that is based solely on searching of transcriptional factor binding sites or miRNA seed regions in the putative target sequences. If the reverse engineering strategy is integrated with the forward engineering strategy, a more accurate and more specific combinatorial regulatory network will be obtained. |
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 % |
|---|---|---|
| United States | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| China | 2 | 5% |
| India | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 8 | 19% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 52% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 October 2020.
All research outputs
#6,113,412
of 22,684,168 outputs
Outputs from BMC Systems Biology
#209
of 1,142 outputs
Outputs of similar age
#43,198
of 167,172 outputs
Outputs of similar age from BMC Systems Biology
#7
of 39 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% of its peers.
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 167,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
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 has done well, scoring higher than 82% of its contemporaries.