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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide DNA methylation changes in skeletal muscle between young and middle-aged pigs
|
|---|---|
| Published in |
BMC Genomics, August 2014
|
| DOI | 10.1186/1471-2164-15-653 |
| Pubmed ID | |
| Authors |
Long Jin, Zhi Jiang, Yudong Xia, Ping’er Lou, Lei Chen, Hongmei Wang, Lu Bai, Yanmei Xie, Yihui Liu, Wei Li, Bangsheng Zhong, Junfang Shen, An’an Jiang, Li Zhu, Jinyong Wang, Xuewei Li, Mingzhou Li |
| Abstract |
Age-related physiological, biochemical and functional changes in mammalian skeletal muscle have been shown to begin at the mid-point of the lifespan. However, the underlying changes in DNA methylation that occur during this turning point of the muscle aging process have not been clarified. To explore age-related genomic methylation changes in skeletal muscle, we employed young (0.5 years old) and middle-aged (7 years old) pigs as models to survey genome-wide DNA methylation in the longissimus dorsi muscle using a methylated DNA immunoprecipitation sequencing approach. |
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 % |
|---|---|---|
| Norway | 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 69 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Researcher | 14 | 20% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 36% |
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Engineering | 3 | 4% |
| Sports and Recreations | 3 | 4% |
| Nursing and Health Professions | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 15 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 February 2022.
All research outputs
#7,041,349
of 23,041,514 outputs
Outputs from BMC Genomics
#3,247
of 10,697 outputs
Outputs of similar age
#67,056
of 230,880 outputs
Outputs of similar age from BMC Genomics
#58
of 190 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 68% 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 230,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.