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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An untargeted metabolomics method for archived newborn dried blood spots in epidemiologic studies
|
|---|---|
| Published in |
Metabolomics, February 2017
|
| DOI | 10.1007/s11306-016-1153-z |
| Pubmed ID | |
| Authors |
Lauren Petrick, William Edmands, Courtney Schiffman, Hasmik Grigoryan, Kelsi Perttula, Yukiko Yano, Sandrine Dudoit, Todd Whitehead, Catherine Metayer, Stephen Rappaport |
| Abstract |
For pediatric diseases like childhood leukemia, a short latency period points to in-utero exposures as potentially important risk factors. Untargeted metabolomics of small molecules in archived newborn dried blood spots (DBS) offers an avenue for discovering early-life exposures that contribute to disease risks. The purpose of this study was to develop a quantitative method for untargeted analysis of archived newborn DBS for use in an epidemiological study (California Childhood Leukemia Study, CCLS). Using experimental DBS from the blood of an adult volunteer, we optimized extraction of small molecules and integrated measurement of potassium as a proxy for blood hematocrit. We then applied this extraction method to 4.7-mm punches from 106 control DBS samples from the CCLS. Sample extracts were analyzed with liquid chromatography high resolution mass spectrometry (LC-HRMS) and an untargeted workflow was used to screen for metabolites that discriminate population characteristics such as sex, ethnicity, and birth weight. Thousands of small molecules were measured in extracts of archived DBS. Normalizing for potassium levels removed variability related to varying hematocrit across DBS punches. Of the roughly 1,000 prevalent small molecules that were tested, multivariate linear regression detected significant associations with ethnicity (3 metabolites) and birth weight (15 metabolites) after adjusting for multiple testing. This untargeted workflow can be used for analysis of small molecules in archived DBS to discover novel biomarkers, to provide insights into the initiation and progression of diseases, and to provide guidance for disease prevention. |
X Demographics
The data shown below were collected from the profiles of 19 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 | 8 | 42% |
| India | 1 | 5% |
| Spain | 1 | 5% |
| Austria | 1 | 5% |
| Finland | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Researcher | 12 | 17% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 14% |
| Medicine and Dentistry | 8 | 11% |
| Environmental Science | 5 | 7% |
| Agricultural and Biological Sciences | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 30 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 May 2018.
All research outputs
#3,376,718
of 24,288,381 outputs
Outputs from Metabolomics
#168
of 1,344 outputs
Outputs of similar age
#68,887
of 428,204 outputs
Outputs of similar age from Metabolomics
#9
of 39 outputs
Altmetric has tracked 24,288,381 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 87% 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 428,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.