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Mendeley readers
Attention Score in Context
| Title |
Rapid evolution of noncoding RNAs: lack of conservation does not mean lack of function
|
|---|---|
| Published in |
Trends in Genetics, November 2005
|
| DOI | 10.1016/j.tig.2005.10.003 |
| Pubmed ID | |
| Authors |
Ken C. Pang, Martin C. Frith, John S. Mattick |
| Abstract |
The mammalian transcriptome contains many non-protein-coding RNAs (ncRNAs), but most of these are of unclear significance and lack strong sequence conservation, prompting suggestions that they might be non-functional. However, certain long functional ncRNAs such as Air and Xist are also poorly conserved. In this article, we systematically analyzed the conservation of several groups of functional ncRNAs, including miRNAs, snoRNAs and longer ncRNAs whose function has been either documented or confidently predicted. As expected, miRNAs and snoRNAs were highly conserved. By contrast, the longer functional non-micro, non-sno ncRNAs were much less conserved with many displaying rapid sequence evolution. Our findings suggest that longer ncRNAs are under the influence of different evolutionary constraints and that the lack of conservation displayed by the thousands of candidate ncRNAs does not necessarily signify an absence of function. |
Mendeley readers
The data shown below were compiled from readership statistics for 521 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| United Kingdom | 7 | 1% |
| China | 3 | <1% |
| Turkey | 2 | <1% |
| Denmark | 2 | <1% |
| Mexico | 2 | <1% |
| Ireland | 1 | <1% |
| Norway | 1 | <1% |
| India | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 480 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 148 | 28% |
| Researcher | 95 | 18% |
| Student > Master | 71 | 14% |
| Student > Bachelor | 37 | 7% |
| Professor > Associate Professor | 27 | 5% |
| Other | 82 | 16% |
| Unknown | 61 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 249 | 48% |
| Biochemistry, Genetics and Molecular Biology | 131 | 25% |
| Medicine and Dentistry | 19 | 4% |
| Computer Science | 15 | 3% |
| Neuroscience | 7 | 1% |
| Other | 32 | 6% |
| Unknown | 68 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 01 February 2014.
All research outputs
#2,864,000
of 25,374,917 outputs
Outputs from Trends in Genetics
#498
of 2,382 outputs
Outputs of similar age
#5,497
of 76,667 outputs
Outputs of similar age from Trends in Genetics
#5
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 78% 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 76,667 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 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.