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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving basic and translational science by accounting for litter-to-litter variation in animal models
|
|---|---|
| Published in |
BMC Neuroscience, March 2013
|
| DOI | 10.1186/1471-2202-14-37 |
| Pubmed ID | |
| Authors |
Stanley E Lazic, Laurent Essioux |
| Abstract |
Animals from the same litter are often more alike compared with animals from different litters. This litter-to-litter variation, or "litter effects", can influence the results in addition to the experimental factors of interest. Furthermore, sometimes an experimental treatment can only be applied to whole litters rather than to individual offspring. An example is the valproic acid (VPA) model of autism, where VPA is administered to pregnant females thereby inducing the disease phenotype in the offspring. With this type of experiment the sample size is the number of litters and not the total number of offspring. If such experiments are not appropriately designed and analysed, the results can be severely biased as well as extremely underpowered. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Canada | 2 | 20% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| France | 1 | <1% |
| Hong Kong | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 220 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 26% |
| Researcher | 32 | 14% |
| Student > Master | 32 | 14% |
| Student > Bachelor | 17 | 8% |
| Student > Doctoral Student | 11 | 5% |
| Other | 32 | 14% |
| Unknown | 43 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 22% |
| Neuroscience | 36 | 16% |
| Medicine and Dentistry | 29 | 13% |
| Psychology | 16 | 7% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Other | 26 | 12% |
| Unknown | 61 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 13 October 2022.
All research outputs
#2,146,750
of 24,614,554 outputs
Outputs from BMC Neuroscience
#59
of 1,272 outputs
Outputs of similar age
#17,268
of 201,396 outputs
Outputs of similar age from BMC Neuroscience
#1
of 30 outputs
Altmetric has tracked 24,614,554 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,272 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 95% 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 201,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.