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Attention Score in Context
Title |
Transcriptome profiling of liver of non-genetic low birth weight and long term health consequences
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Published in |
BMC Genomics, May 2014
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DOI | 10.1186/1471-2164-15-327 |
Pubmed ID | |
Authors |
Alberto Miranda, Angela P López-Cardona, Ricardo Laguna-Barraza, Alexandra Calle, Irene López-Vidriero, Belén Pintado, Alfonso Gutiérrez-Adán |
Abstract |
It is believed that the main factors of low prenatal growth in mammals are genetic and environmental. We used isogenic mice maintained in standard conditions to analyze how natural non-genetic microsomia (low birth weight) is produced in inbred mice and its long term effect on health. To better understand the molecular basis of non-genetic microsomia, we undertook transcriptome profiling of both male and female livers from small and normal size mice at birth. |
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 % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Researcher | 4 | 12% |
Student > Bachelor | 4 | 12% |
Student > Postgraduate | 3 | 9% |
Student > Master | 3 | 9% |
Other | 3 | 9% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 29% |
Medicine and Dentistry | 5 | 15% |
Nursing and Health Professions | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Psychology | 2 | 6% |
Other | 4 | 12% |
Unknown | 9 | 26% |
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 03 June 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#209,806
of 242,178 outputs
Outputs of similar age from BMC Genomics
#204
of 248 outputs
Altmetric has tracked 25,373,627 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 242,178 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 248 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.