| Title |
Identification of new p53 target microRNAs by bioinformatics and functional analysis
|
|---|---|
| Published in |
BMC Cancer, November 2013
|
| DOI | 10.1186/1471-2407-13-552 |
| Pubmed ID | |
| Authors |
Alessandra Bisio, Veronica De Sanctis, Valerio Del Vescovo, Michela A Denti, Anil G Jegga, Alberto Inga, Yari Ciribilli |
| Abstract |
The tumor suppressor p53 is a sequence-specific transcription factor that regulates an extensive network of coding genes, long non-coding RNAs and microRNAs, that establish intricate gene regulatory circuits influencing many cellular responses beyond the prototypical control of cell cycle, apoptosis and DNA repair. |
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 % |
|---|---|---|
| India | 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Belgium | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 14 | 22% |
| Student > Bachelor | 7 | 11% |
| Other | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 4 | 6% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 37% |
| Biochemistry, Genetics and Molecular Biology | 14 | 22% |
| Medicine and Dentistry | 8 | 13% |
| Unspecified | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 9 | 14% |
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 18 December 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from BMC Cancer
#5,418
of 8,270 outputs
Outputs of similar age
#227,749
of 301,953 outputs
Outputs of similar age from BMC Cancer
#69
of 105 outputs
Altmetric has tracked 22,731,677 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 8,270 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% 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 301,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.