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Attention Score in Context
Title |
Toward understanding the genetic basis of adaptation to high-elevation life in poikilothermic species: A comparative transcriptomic analysis of two ranid frogs, Rana chensinensis and R. kukunoris
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Published in |
BMC Genomics, November 2012
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DOI | 10.1186/1471-2164-13-588 |
Pubmed ID | |
Authors |
Weizhao Yang, Yin Qi, Ke Bi, Jinzhong Fu |
Abstract |
Understanding how organisms adapt to high-elevation environments at a genome scale provides novel insights into the process of adaptive evolution. Previous studies have mainly focused on endothermic organisms, while poikilothermic species may have evolved different mechanisms to cope with high-elevation environments. In this context, we sequenced transcriptomes of a pair of closely related anuran species, Rana chensinensis and R. kukunoris, which inhabit respective low- and high-elevation habitats. By comparing the two transcriptomes, we identified candidate genes that may be involved in high-elevation adaption in poikilothermic species. |
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 % |
---|---|---|
Spain | 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 2% |
Germany | 1 | <1% |
Brazil | 1 | <1% |
Finland | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 99 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 25% |
Researcher | 19 | 18% |
Student > Master | 15 | 14% |
Student > Bachelor | 10 | 9% |
Professor > Associate Professor | 10 | 9% |
Other | 14 | 13% |
Unknown | 11 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 68 | 64% |
Biochemistry, Genetics and Molecular Biology | 19 | 18% |
Environmental Science | 3 | 3% |
Psychology | 1 | <1% |
Earth and Planetary Sciences | 1 | <1% |
Other | 2 | 2% |
Unknown | 12 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 June 2015.
All research outputs
#3,647,135
of 22,685,926 outputs
Outputs from BMC Genomics
#1,437
of 10,616 outputs
Outputs of similar age
#27,386
of 184,149 outputs
Outputs of similar age from BMC Genomics
#18
of 141 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 184,149 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 85% of its contemporaries.
We're also able to compare this research output to 141 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.