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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Impact of Oxygen on Metabolic Evolution: A Chemoinformatic Investigation
|
|---|---|
| Published in |
PLoS Computational Biology, March 2012
|
| DOI | 10.1371/journal.pcbi.1002426 |
| Pubmed ID | |
| Authors |
Ying-Ying Jiang, De-Xin Kong, Tao Qin, Xiao Li, Gustavo Caetano-Anollés, Hong-Yu Zhang |
| Abstract |
The appearance of planetary oxygen likely transformed the chemical and biochemical makeup of life and probably triggered episodes of organismal diversification. Here we use chemoinformatic methods to explore the impact of the rise of oxygen on metabolic evolution. We undertake a comprehensive comparative analysis of structures, chemical properties and chemical reactions of anaerobic and aerobic metabolites. The results indicate that aerobic metabolism has expanded the structural and chemical space of metabolites considerably, including the appearance of 130 novel molecular scaffolds. The molecular functions of these metabolites are mainly associated with derived aspects of cellular life, such as signal transfer, defense against biotic factors, and protection of organisms from oxidation. Moreover, aerobic metabolites are more hydrophobic and rigid than anaerobic compounds, suggesting they are better fit to modulate membrane functions and to serve as transmembrane signaling factors. Since higher organisms depend largely on sophisticated membrane-enabled functions and intercellular signaling systems, the metabolic developments brought about by oxygen benefit the diversity of cellular makeup and the complexity of cellular organization as well. These findings enhance our understanding of the molecular link between oxygen and evolution. They also show the significance of chemoinformatics in addressing basic biological questions. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Japan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 3% |
| United States | 2 | 3% |
| Brazil | 1 | 1% |
| Finland | 1 | 1% |
| China | 1 | 1% |
| Portugal | 1 | 1% |
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 70 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 30% |
| Student > Ph. D. Student | 23 | 29% |
| Student > Master | 6 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 39% |
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Computer Science | 4 | 5% |
| Environmental Science | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 March 2012.
All research outputs
#7,688,172
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#5,108
of 8,960 outputs
Outputs of similar age
#49,645
of 169,059 outputs
Outputs of similar age from PLoS Computational Biology
#52
of 111 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 42nd percentile – i.e., 42% 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 169,059 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 111 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 53% of its contemporaries.