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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A map of human microRNA variation uncovers unexpectedly high levels of variability
|
|---|---|
| Published in |
Genome Medicine, August 2012
|
| DOI | 10.1186/gm363 |
| Pubmed ID | |
| Authors |
José Carbonell, Eva Alloza, Pablo Arce, Salud Borrego, Javier Santoyo, Macarena Ruiz-Ferrer, Ignacio Medina, Jorge Jiménez-Almazán, Cristina Méndez-Vidal, María González-del Pozo, Alicia Vela, Shomi S Bhattacharya, Guillermo Antiñolo, Joaquín Dopazo |
| Abstract |
ABSTRACT: BACKGROUND: MicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variability in a healthy population seems an obvious requirement for future research on miRNA-related pathologies. METHODS: Data on 14 populations from the 1000 Genomes Project were analyzed, along with new data extracted from 60 exomes of healthy individuals from a population from southern Spain, sequenced in the context of the Medical Genome Project, to derive an accurate map of miRNA variability. RESULTS: Despite the common belief that miRNAs are highly conserved elements, analysis of the sequences of the 1,152 individuals indicated that the observed level of variability is double what was expected. A total of 527 variants were found. Among these, 45 variants affected the recognition region of the corresponding miRNA and were found in 43 different miRNAs, 26 of which are known to be involved in 57 diseases. Different parts of the mature structure of the miRNA were affected to different degrees by variants, which suggests the existence of a selective pressure related to the relative functional impact of the change. Moreover, 41 variants showed a significant deviation from the Hardy-Weinberg equilibrium, which supports the existence of a selective process against some alleles. The average number of variants per individual in miRNAs was 28. CONCLUSIONS: Despite an expectation that miRNAs would be highly conserved genomic elements, our study reports a level of variability comparable to that observed for coding genes. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 24% |
| Venezuela, Bolivarian Republic of | 3 | 12% |
| Spain | 3 | 12% |
| United States | 2 | 8% |
| Brazil | 1 | 4% |
| Netherlands | 1 | 4% |
| Germany | 1 | 4% |
| Mexico | 1 | 4% |
| Unknown | 7 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 11 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 30% |
| Student > Ph. D. Student | 15 | 22% |
| Other | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Student > Master | 5 | 7% |
| Other | 8 | 12% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 42% |
| Biochemistry, Genetics and Molecular Biology | 19 | 28% |
| Medicine and Dentistry | 4 | 6% |
| Energy | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 12 February 2016.
All research outputs
#1,769,609
of 25,373,627 outputs
Outputs from Genome Medicine
#393
of 1,585 outputs
Outputs of similar age
#11,021
of 186,735 outputs
Outputs of similar age from Genome Medicine
#2
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 75% 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 186,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.