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Mendeley readers
Attention Score in Context
| Title |
Inter- and intra-combinatorial regulation by transcription factors and microRNAs
|
|---|---|
| Published in |
BMC Genomics, October 2007
|
| DOI | 10.1186/1471-2164-8-396 |
| Pubmed ID | |
| Authors |
Yiming Zhou, John Ferguson, Joseph T Chang, Yuval Kluger |
| Abstract |
MicroRNAs (miRNAs) are a novel class of non-coding small RNAs. In mammalian cells, miRNAs repress the translation of messenger RNAs (mRNAs) or degrade mRNAs. miRNAs play important roles in development and differentiation, and they are also implicated in aging, and oncogenesis. Predictions of targets of miRNAs suggest that they may regulate more than one-third of all genes. The overall functions of mammalian miRNAs remain unclear. Combinatorial regulation by transcription factors alone or miRNAs alone offers a wide range of regulatory programs. However, joining transcriptional and post-transcriptional regulatory mechanisms enables higher complexity regulatory programs that in turn could give cells evolutionary advantages. Investigating coordinated regulation of genes by miRNAs and transcription factors (TFs) from a statistical standpoint is a first step that may elucidate some of their roles in various biological processes. |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 4 | 2% |
| France | 2 | 1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 151 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 38% |
| Student > Ph. D. Student | 42 | 25% |
| Student > Master | 14 | 8% |
| Professor > Associate Professor | 9 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 23 | 14% |
| Unknown | 11 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 104 | 62% |
| Biochemistry, Genetics and Molecular Biology | 30 | 18% |
| Medicine and Dentistry | 10 | 6% |
| Computer Science | 6 | 4% |
| Neuroscience | 3 | 2% |
| Other | 5 | 3% |
| Unknown | 11 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 March 2013.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Genomics
#3,596
of 10,646 outputs
Outputs of similar age
#25,759
of 76,501 outputs
Outputs of similar age from BMC Genomics
#4
of 21 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,646 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 76,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.