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Mendeley readers
Attention Score in Context
| Title |
Identification of differences in microRNA transcriptomes between porcine oxidative and glycolytic skeletal muscles
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, February 2013
|
| DOI | 10.1186/1471-2199-14-7 |
| Pubmed ID | |
| Authors |
Yingkai Liu, Mingzhou Li, Jideng Ma, Jie Zhang, Chaowei Zhou, Tao Wang, Xiaolian Gao, Xuewei Li |
| Abstract |
MicroRNAs (miRNAs) are a type of non-coding small RNA ~22 nucleotides in length that regulate the expression of protein coding genes at the post-transcriptional level. Glycolytic and oxidative myofibers, the two main types of skeletal muscles, play important roles in metabolic health as well as in meat quality and production in the pig industry. Previous expression profile studies of different skeletal muscle types have focused on these aspects of mRNA and proteins; nonetheless, an explanation of the miRNA transcriptome differences between these two distinct muscles types is long overdue. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United Kingdom | 1 | 33% |
| Norway | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| India | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 10 | 22% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 51% |
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Medicine and Dentistry | 3 | 7% |
| Sports and Recreations | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 2 | 4% |
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 27 February 2013.
All research outputs
#15,517,312
of 25,373,627 outputs
Outputs from BMC Molecular and Cell Biology
#683
of 1,233 outputs
Outputs of similar age
#116,869
of 204,437 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#10
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 44th percentile – i.e., 44% 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 204,437 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.