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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erythrocyte fatty acid profiles in children are not predictive of autism spectrum disorder status: a case control study
|
|---|---|
| Published in |
Biomarker Research, March 2018
|
| DOI | 10.1186/s40364-018-0125-z |
| Pubmed ID | |
| Authors |
Daniel P. Howsmon, James B. Adams, Uwe Kruger, Elizabeth Geis, Eva Gehn, Juergen Hahn |
| Abstract |
Biomarkers promise biomolecular explanations as well as reliable diagnostics, stratification, and treatment strategies that have the potential to help mitigate the effects of disorders. While no reliable biomarker has yet been found for autism spectrum disorder (ASD), fatty acids have been investigated as potential biomarkers because of their association with brain development and neural functions. However, the ability of fatty acids to classify individuals with ASD from age/gender-matched neurotypical (NEU) peers has largely been ignored in favor of investigating population-level differences. Contrary to existing work, this classification task between ASD and NEU cohorts is the main focus of this work. The data presented herein suggest that fatty acids do not allow for classification at the individual level. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Professor | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 13% |
| Nursing and Health Professions | 3 | 10% |
| Neuroscience | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 13 | 42% |
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 08 October 2018.
All research outputs
#17,934,709
of 23,028,364 outputs
Outputs from Biomarker Research
#204
of 320 outputs
Outputs of similar age
#242,789
of 333,763 outputs
Outputs of similar age from Biomarker Research
#4
of 6 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 320 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 30th percentile – i.e., 30% 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 333,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.