| Title |
Gene–ethanol interactions underlying fetal alcohol spectrum disorders
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, February 2014
|
| DOI | 10.1007/s00018-014-1578-3 |
| Pubmed ID | |
| Authors |
Neil McCarthy, Johann K. Eberhart |
| Abstract |
Fetal alcohol spectrum disorders (FASD) is an umbrella term that describes a diverse set of ethanol-induced defects. The phenotypic variation is generated by numerous factors, including timing and dosage of ethanol exposure as well as genetic background. We are beginning to learn about how the concentration, duration, and timing of ethanol exposure mediate variability within ethanol teratogenesis. However, little is known about the genetic susceptibilities in FASD. Studies of FASD animal models are beginning to implicate a number of susceptibility genes that are involved in various pathways. Here we review the current literature that focuses on the genetic predispositions in FASD. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Canada | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Student > Doctoral Student | 7 | 13% |
| Student > Bachelor | 7 | 13% |
| Researcher | 6 | 11% |
| Other | 11 | 20% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 37% |
| Medicine and Dentistry | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Unspecified | 3 | 6% |
| Neuroscience | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2014.
All research outputs
#13,191,401
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,688
of 4,151 outputs
Outputs of similar age
#107,144
of 225,647 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#54
of 79 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 39th percentile – i.e., 39% 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 225,647 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 52% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.