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X Demographics
Mendeley readers
Attention Score in Context
Title |
Effect of codon adaptation on codon-level and gene-level translation efficiency in vivo
|
---|---|
Published in |
BMC Genomics, December 2014
|
DOI | 10.1186/1471-2164-15-1115 |
Pubmed ID | |
Authors |
Kenji Nakahigashi, Yuki Takai, Yuh Shiwa, Mei Wada, Masayuki Honma, Hirofumi Yoshikawa, Masaru Tomita, Akio Kanai, Hirotada Mori |
Abstract |
There is a significant difference between synonymous codon usage in many organisms, and it is known that codons used more frequently generally showed efficient decoding rate. At the gene level, however, there are conflicting reports on the existence of a correlation between codon adaptation and translation efficiency, even in the same organism. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 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% |
New Zealand | 1 | <1% |
Netherlands | 1 | <1% |
Estonia | 1 | <1% |
Argentina | 1 | <1% |
Unknown | 96 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 29% |
Student > Ph. D. Student | 27 | 26% |
Student > Master | 11 | 10% |
Student > Bachelor | 7 | 7% |
Student > Postgraduate | 5 | 5% |
Other | 15 | 14% |
Unknown | 10 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 50 | 48% |
Biochemistry, Genetics and Molecular Biology | 35 | 33% |
Physics and Astronomy | 2 | 2% |
Chemistry | 2 | 2% |
Immunology and Microbiology | 1 | <1% |
Other | 5 | 5% |
Unknown | 10 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2015.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from BMC Genomics
#6,103
of 11,244 outputs
Outputs of similar age
#200,282
of 360,776 outputs
Outputs of similar age from BMC Genomics
#159
of 305 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 360,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 305 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.