| Title |
Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies
|
|---|---|
| Published in |
Metabolomics, September 2018
|
| DOI | 10.1007/s11306-018-1420-2 |
| Pubmed ID | |
| Authors |
Kieu Trinh Do, Simone Wahl, Johannes Raffler, Sophie Molnos, Michael Laimighofer, Jerzy Adamski, Karsten Suhre, Konstantin Strauch, Annette Peters, Christian Gieger, Claudia Langenberg, Isobel D. Stewart, Fabian J. Theis, Harald Grallert, Gabi Kastenmüller, Jan Krumsiek |
X Demographics
The data shown below were collected from the profiles of 40 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 | 5 | 13% |
| Germany | 2 | 5% |
| Qatar | 2 | 5% |
| Switzerland | 2 | 5% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Japan | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 21 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 50% |
| Scientists | 15 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 17% |
| Researcher | 30 | 15% |
| Student > Ph. D. Student | 29 | 15% |
| Student > Doctoral Student | 14 | 7% |
| Student > Bachelor | 12 | 6% |
| Other | 30 | 15% |
| Unknown | 46 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 21% |
| Agricultural and Biological Sciences | 29 | 15% |
| Chemistry | 20 | 10% |
| Medicine and Dentistry | 10 | 5% |
| Computer Science | 9 | 5% |
| Other | 27 | 14% |
| Unknown | 59 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 14 January 2021.
All research outputs
#1,654,218
of 25,389,520 outputs
Outputs from Metabolomics
#53
of 1,382 outputs
Outputs of similar age
#34,052
of 348,972 outputs
Outputs of similar age from Metabolomics
#2
of 43 outputs
Altmetric has tracked 25,389,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,382 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 96% 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 348,972 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 90% of its contemporaries.
We're also able to compare this research output to 43 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 97% of its contemporaries.