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Mendeley readers
Attention Score in Context
| Title |
Translational signatures and mRNA levels are highly correlated in human stably expressed genes
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-268 |
| Pubmed ID | |
| Authors |
Sergio R P Line, Xiaoming Liu, Ana Paula de Souza, Fuli Yu |
| Abstract |
Gene expression is one of the most relevant biological processes of living cells. Due to the relative small population sizes, it is predicted that human gene sequences are not strongly influenced by selection towards expression efficiency. One of the major problems in estimating to what extent gene characteristics can be selected to maximize expression efficiency is the wide variation that exists in RNA and protein levels among physiological states and different tissues. Analyses of datasets of stably expressed genes (i.e. with consistent expression between physiological states and tissues) would provide more accurate and reliable measurements of associations between variations of a specific gene characteristic and expression, and how distinct gene features work to optimize gene expression. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 10% |
| Argentina | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 25 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 6 | 20% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 57% |
| Medicine and Dentistry | 3 | 10% |
| Computer Science | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 April 2013.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#184,131
of 210,036 outputs
Outputs of similar age from BMC Genomics
#161
of 182 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 210,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.