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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of regulatory features of housekeeping and tissue-specific regulators within tissue regulatory networks
|
|---|---|
| Published in |
BMC Systems Biology, October 2013
|
| DOI | 10.1186/1752-0509-7-112 |
| Pubmed ID | |
| Authors |
Pengping Li, Xu Hua, Zhen Zhang, Jie Li, Jin Wang |
| Abstract |
Transcription factors (TFs) and miRNAs are essential for the regulation of gene expression; however, the global view of human gene regulatory networks remains poorly understood. For example, how is the expression of so many genes regulated by limited cohorts of regulators and how are genes differentially expressed in different tissues despite the genetic code being the same in all tissues? |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Turkey | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 35% |
| Researcher | 5 | 25% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 35% |
| Agricultural and Biological Sciences | 7 | 35% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Neuroscience | 1 | 5% |
| Unknown | 3 | 15% |
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 31 October 2013.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from BMC Systems Biology
#827
of 1,132 outputs
Outputs of similar age
#170,131
of 225,925 outputs
Outputs of similar age from BMC Systems Biology
#43
of 54 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 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 225,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.