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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Architecture of thermal adaptation in an Exiguobacterium sibiricum strain isolated from 3 million year old permafrost: A genome and transcriptome approach
|
|---|---|
| Published in |
BMC Genomics, November 2008
|
| DOI | 10.1186/1471-2164-9-547 |
| Pubmed ID | |
| Authors |
Debora F Rodrigues, Natalia Ivanova, Zhili He, Marianne Huebner, Jizhong Zhou, James M Tiedje |
| Abstract |
Many microorganisms have a wide temperature growth range and versatility to tolerate large thermal fluctuations in diverse environments, however not many have been fully explored over their entire growth temperature range through a holistic view of its physiology, genome, and transcriptome. We used Exiguobacterium sibiricum strain 255-15, a psychrotrophic bacterium from 3 million year old Siberian permafrost that grows from -5 degrees C to 39 degrees C to study its thermal adaptation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Austria | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 109 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Researcher | 20 | 17% |
| Student > Master | 20 | 17% |
| Student > Bachelor | 12 | 10% |
| Professor | 7 | 6% |
| Other | 16 | 14% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 43% |
| Biochemistry, Genetics and Molecular Biology | 19 | 16% |
| Environmental Science | 5 | 4% |
| Computer Science | 4 | 3% |
| Immunology and Microbiology | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 22 | 19% |
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 25 June 2019.
All research outputs
#3,080,550
of 25,373,627 outputs
Outputs from BMC Genomics
#956
of 11,244 outputs
Outputs of similar age
#14,449
of 180,291 outputs
Outputs of similar age from BMC Genomics
#6
of 61 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 180,291 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 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.