| Title |
The RNA World at Thirty: A Look Back with its Author
|
|---|---|
| Published in |
Journal of Molecular Evolution, November 2016
|
| DOI | 10.1007/s00239-016-9767-3 |
| Pubmed ID | |
| Authors |
Neeraja Sankaran |
| Abstract |
Thirty years ago, molecular biologist Walter Gilbert published his RNA world hypothesis, which posited that early in evolution living systems were composed entirely of RNA. Proposed in the immediate wake of the discovery that certain RNA molecules were capable of catalyzing biological reactions, the hypothesis ascribed both of life's essential functions, namely carrying information and catalysis-respectively, performed by DNA and proteins in most modern life systems-to RNA, which were labeled as ribozymes. In the years since its inception, the RNA world has been greeted with equal parts enthusiasm and opposition from the origins of life research community, of which Gilbert neither was, nor really became, a part. For this special historical issue of the Journal of Molecular Evolution, Gilbert agreed to revisit his hypothesis and share his memories about the theory's origins and his insights into its fate in the years since he first published his idea. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Student > Bachelor | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 28% |
| Agricultural and Biological Sciences | 12 | 26% |
| Computer Science | 2 | 4% |
| Neuroscience | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 10 | 22% |
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 12 January 2017.
All research outputs
#7,229,289
of 23,567,572 outputs
Outputs from Journal of Molecular Evolution
#423
of 1,461 outputs
Outputs of similar age
#128,481
of 418,721 outputs
Outputs of similar age from Journal of Molecular Evolution
#5
of 16 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 69% of its peers.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.