Title |
Towards quality assurance and quality control in untargeted metabolomics studies
|
---|---|
Published in |
Metabolomics, January 2019
|
DOI | 10.1007/s11306-018-1460-7 |
Pubmed ID | |
Authors |
Richard D. Beger, Warwick B. Dunn, Abbas Bandukwala, Bianca Bethan, David Broadhurst, Clary B. Clish, Surendra Dasari, Leslie Derr, Annie Evans, Steve Fischer, Thomas Flynn, Thomas Hartung, David Herrington, Richard Higashi, Ping-Ching Hsu, Christina Jones, Maureen Kachman, Helen Karuso, Gary Kruppa, Katrice Lippa, Padma Maruvada, Jonathan Mosley, Ioanna Ntai, Claire O’Donovan, Mary Playdon, Daniel Raftery, Daniel Shaughnessy, Amanda Souza, Timothy Spaeder, Barbara Spalholz, Fariba Tayyari, Baljit Ubhi, Mukesh Verma, Tilman Walk, Ian Wilson, Keren Witkin, Daniel W. Bearden, Krista A. Zanetti |
X Demographics
The data shown below were collected from the profiles of 26 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 | 4 | 15% |
Spain | 3 | 12% |
Switzerland | 1 | 4% |
Mexico | 1 | 4% |
Argentina | 1 | 4% |
India | 1 | 4% |
Canada | 1 | 4% |
United States | 1 | 4% |
Comoros | 1 | 4% |
Other | 0 | 0% |
Unknown | 12 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 54% |
Scientists | 9 | 35% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 193 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 18% |
Researcher | 34 | 18% |
Student > Master | 19 | 10% |
Student > Bachelor | 13 | 7% |
Professor | 8 | 4% |
Other | 27 | 14% |
Unknown | 58 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 31 | 16% |
Chemistry | 29 | 15% |
Agricultural and Biological Sciences | 11 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 5% |
Medicine and Dentistry | 10 | 5% |
Other | 29 | 15% |
Unknown | 73 | 38% |
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 21 June 2023.
All research outputs
#2,250,311
of 25,461,852 outputs
Outputs from Metabolomics
#86
of 1,393 outputs
Outputs of similar age
#50,703
of 446,776 outputs
Outputs of similar age from Metabolomics
#3
of 32 outputs
Altmetric has tracked 25,461,852 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 1,393 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 particularly well, scoring higher than 93% 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 446,776 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 88% of its contemporaries.
We're also able to compare this research output to 32 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 93% of its contemporaries.