| Title |
DeltaMS: a tool to track isotopologues in GC- and LC-MS data
|
|---|---|
| Published in |
Metabolomics, February 2018
|
| DOI | 10.1007/s11306-018-1336-x |
| Pubmed ID | |
| Authors |
Tim U. H. Baumeister, Nico Ueberschaar, Wolfgang Schmidt-Heck, J. Frieder Mohr, Michael Deicke, Thomas Wichard, Reinhard Guthke, Georg Pohnert |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Korea, Republic of | 1 | 8% |
| Switzerland | 1 | 8% |
| China | 1 | 8% |
| Netherlands | 1 | 8% |
| India | 1 | 8% |
| United Kingdom | 1 | 8% |
| Australia | 1 | 8% |
| Germany | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Student > Master | 7 | 18% |
| Researcher | 6 | 16% |
| Professor | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 29% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Agricultural and Biological Sciences | 4 | 11% |
| Computer Science | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2020.
All research outputs
#2,879,671
of 23,025,074 outputs
Outputs from Metabolomics
#145
of 1,300 outputs
Outputs of similar age
#61,942
of 330,058 outputs
Outputs of similar age from Metabolomics
#7
of 36 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% 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 330,058 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 81% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.