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Mendeley readers
Attention Score in Context
| Title |
Muscle transcriptomic investigation of late fetal development identifies candidate genes for piglet maturity
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-797 |
| Pubmed ID | |
| Authors |
Valentin Voillet, Magali SanCristobal, Yannick Lippi, Pascal GP Martin, Nathalie Iannuccelli, Christine Lascor, Florence Vignoles, Yvon Billon, Laurianne Canario, Laurence Liaubet |
| Abstract |
In pigs, the perinatal period is the most critical time for survival. Piglet maturation, which occurs atthe end of gestation, leads to a state of full development after birth. Therefore, maturity is an importantdeterminant of early survival. Skeletal muscle plays a key role in adaptation to extra-uterine life, e.g.glycogen storage and thermoregulation. In this study, we performed microarray analysis to identifythe genes and biological processes involved in piglet muscle maturity. Progeny from two breeds withextreme muscle maturity phenotypes were analyzed at two time points during gestation (gestationaldays 90 and 110). The Large White (LW) breed is a selected breed with an increased rate of mortalityat birth, whereas the Meishan (MS) breed produces piglets with extremely low mortality at birth. Theimpact of the parental genome was analyzed with reciprocal crossed fetuses. |
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 % |
|---|---|---|
| Unknown | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Postgraduate | 2 | 10% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 48% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 24% |
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 18 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from BMC Genomics
#8,168
of 10,638 outputs
Outputs of similar age
#177,684
of 249,473 outputs
Outputs of similar age from BMC Genomics
#148
of 207 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.