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Mendeley readers
Attention Score in Context
Title |
The evolutionary history of protein fold families and proteomes confirms that the archaeal ancestor is more ancient than the ancestors of other superkingdoms
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Published in |
BMC Ecology and Evolution, January 2012
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DOI | 10.1186/1471-2148-12-13 |
Pubmed ID | |
Authors |
Kyung Mo Kim, Gustavo Caetano-Anollés |
Abstract |
The entire evolutionary history of life can be studied using myriad sequences generated by genomic research. This includes the appearance of the first cells and of superkingdoms Archaea, Bacteria, and Eukarya. However, the use of molecular sequence information for deep phylogenetic analyses is limited by mutational saturation, differential evolutionary rates, lack of sequence site independence, and other biological and technical constraints. In contrast, protein structures are evolutionary modules that are highly conserved and diverse enough to enable deep historical exploration. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 2 | 2% |
United States | 2 | 2% |
Brazil | 2 | 2% |
United Kingdom | 2 | 2% |
Sweden | 1 | 1% |
Israel | 1 | 1% |
Portugal | 1 | 1% |
Germany | 1 | 1% |
Spain | 1 | 1% |
Other | 1 | 1% |
Unknown | 76 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 28% |
Student > Ph. D. Student | 21 | 23% |
Professor | 9 | 10% |
Student > Master | 9 | 10% |
Student > Postgraduate | 5 | 6% |
Other | 13 | 14% |
Unknown | 8 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 43% |
Biochemistry, Genetics and Molecular Biology | 23 | 26% |
Computer Science | 4 | 4% |
Chemistry | 4 | 4% |
Earth and Planetary Sciences | 4 | 4% |
Other | 6 | 7% |
Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 May 2021.
All research outputs
#6,495,686
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,439
of 3,714 outputs
Outputs of similar age
#53,590
of 252,389 outputs
Outputs of similar age from BMC Ecology and Evolution
#15
of 26 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 74th percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 60% 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 252,389 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 78% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.