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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The origin of life is a spatially localized stochastic transition
|
|---|---|
| Published in |
Biology Direct, November 2012
|
| DOI | 10.1186/1745-6150-7-42 |
| Pubmed ID | |
| Authors |
Meng Wu, Paul G Higgs |
| Abstract |
Life depends on biopolymer sequences as catalysts and as genetic material. A key step in the Origin of Life is the emergence of an autocatalytic system of biopolymers. Here we study computational models that address the way a living autocatalytic system could have emerged from a non-living chemical system, as envisaged in the RNA World hypothesis. |
X Demographics
The data shown below were collected from the profiles of 21 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 States | 7 | 33% |
| United Kingdom | 4 | 19% |
| France | 2 | 10% |
| Puerto Rico | 1 | 5% |
| Chile | 1 | 5% |
| Japan | 1 | 5% |
| Costa Rica | 1 | 5% |
| Unknown | 4 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 5 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 11% |
| Russia | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 38 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Student > Bachelor | 9 | 20% |
| Student > Master | 6 | 13% |
| Professor | 4 | 9% |
| Researcher | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 40% |
| Physics and Astronomy | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Chemistry | 3 | 7% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 04 February 2017.
All research outputs
#2,417,693
of 25,371,288 outputs
Outputs from Biology Direct
#92
of 537 outputs
Outputs of similar age
#21,893
of 285,300 outputs
Outputs of similar age from Biology Direct
#4
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 82% 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 285,300 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 92% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.