| Title |
Integration of pharmacometabolomics with pharmacokinetics and pharmacodynamics: towards personalized drug therapy
|
|---|---|
| Published in |
Metabolomics, December 2016
|
| DOI | 10.1007/s11306-016-1143-1 |
| Pubmed ID | |
| Authors |
Vasudev Kantae, Elke H. J. Krekels, Michiel J. Van Esdonk, Peter Lindenburg, Amy C. Harms, Catherijne A. J. Knibbe, Piet H. Van der Graaf, Thomas Hankemeier |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 7% |
| France | 1 | 7% |
| Saudi Arabia | 1 | 7% |
| India | 1 | 7% |
| Canada | 1 | 7% |
| United Kingdom | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 47% |
| Members of the public | 7 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 122 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 18% |
| Researcher | 22 | 18% |
| Student > Master | 21 | 17% |
| Student > Bachelor | 9 | 7% |
| Other | 6 | 5% |
| Other | 19 | 15% |
| Unknown | 24 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 20 | 16% |
| Biochemistry, Genetics and Molecular Biology | 18 | 15% |
| Agricultural and Biological Sciences | 17 | 14% |
| Medicine and Dentistry | 13 | 11% |
| Chemistry | 9 | 7% |
| Other | 16 | 13% |
| Unknown | 30 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 June 2017.
All research outputs
#4,691,824
of 26,017,215 outputs
Outputs from Metabolomics
#225
of 1,411 outputs
Outputs of similar age
#82,811
of 429,355 outputs
Outputs of similar age from Metabolomics
#10
of 24 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 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,411 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 well, scoring higher than 83% 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 429,355 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 80% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.