| Title |
A Neonatal Amikacin Covariate Model Can Be Used to Predict Ontogeny of Other Drugs Eliminated Through Glomerular Filtration in Neonates
|
|---|---|
| Published in |
Pharmaceutical Research, September 2013
|
| DOI | 10.1007/s11095-013-1197-y |
| Pubmed ID | |
| Authors |
Roosmarijn F. W. De Cock, Karel Allegaert, Catherine M. T. Sherwin, Elisabet I. Nielsen, Matthijs de Hoog, Johannes N. van den Anker, Meindert Danhof, Catherijne A. J. Knibbe |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 3% |
| United States | 1 | 1% |
| Unknown | 70 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 21% |
| Student > Bachelor | 11 | 15% |
| Student > Master | 10 | 14% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 19 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 23% |
| Nursing and Health Professions | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 22 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2017.
All research outputs
#12,937,099
of 23,002,898 outputs
Outputs from Pharmaceutical Research
#2,084
of 2,870 outputs
Outputs of similar age
#101,838
of 203,942 outputs
Outputs of similar age from Pharmaceutical Research
#21
of 30 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,870 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 203,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.