| Title |
The development and validation of a fast and robust dried blood spot based lipid profiling method to study infant metabolism
|
|---|---|
| Published in |
Metabolomics, February 2014
|
| DOI | 10.1007/s11306-014-0628-z |
| Pubmed ID | |
| Authors |
Albert Koulman, Philippa Prentice, Max C. Y. Wong, Lee Matthews, Nicholas J. Bond, Michael Eiden, Julian L. Griffin, David B. Dunger |
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 Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 134 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 29% |
| Student > Ph. D. Student | 27 | 20% |
| Student > Master | 13 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Professor > Associate Professor | 6 | 4% |
| Other | 20 | 15% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 22% |
| Chemistry | 25 | 18% |
| Biochemistry, Genetics and Molecular Biology | 22 | 16% |
| Medicine and Dentistry | 13 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 17 | 12% |
| Unknown | 25 | 18% |
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 19 February 2018.
All research outputs
#3,725,016
of 26,017,215 outputs
Outputs from Metabolomics
#182
of 1,413 outputs
Outputs of similar age
#43,504
of 335,503 outputs
Outputs of similar age from Metabolomics
#2
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 335,503 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 86% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.