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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring ancient metabolism using ancestral core metabolic models of enterobacteria
|
|---|---|
| Published in |
BMC Systems Biology, June 2013
|
| DOI | 10.1186/1752-0509-7-46 |
| Pubmed ID | |
| Authors |
David J Baumler, Bing Ma, Jennifer L Reed, Nicole T Perna |
| Abstract |
Enterobacteriaceae diversified from an ancestral lineage ~300-500 million years ago (mya) into a wide variety of free-living and host-associated lifestyles. Nutrient availability varies across niches, and evolution of metabolic networks likely played a key role in adaptation. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Korea, Democratic People's Republic of | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 42% |
| Members of the public | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Portugal | 1 | <1% |
| Singapore | 1 | <1% |
| Netherlands | 1 | <1% |
| Greece | 1 | <1% |
| China | 1 | <1% |
| Unknown | 106 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 28 | 24% |
| Researcher | 21 | 18% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Master | 8 | 7% |
| Professor | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 20 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 30% |
| Biochemistry, Genetics and Molecular Biology | 19 | 17% |
| Engineering | 15 | 13% |
| Computer Science | 6 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 8 | 7% |
| Unknown | 29 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 September 2014.
All research outputs
#5,216,578
of 25,394,764 outputs
Outputs from BMC Systems Biology
#140
of 1,132 outputs
Outputs of similar age
#42,580
of 210,285 outputs
Outputs of similar age from BMC Systems Biology
#3
of 24 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 87% 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 210,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.