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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tacrolimus pharmacokinetics in pediatric nephrotic syndrome: A combination of population pharmacokinetic modelling and machine learning approaches to improve individual prediction
|
|---|---|
| Published in |
Frontiers in Pharmacology, November 2022
|
| DOI | 10.3389/fphar.2022.942129 |
| Pubmed ID | |
| Authors |
Qiongbo Huang, Xiaobin Lin, Yang Wang, Xiujuan Chen, Wei Zheng, Xiaoli Zhong, Dewei Shang, Min Huang, Xia Gao, Hui Deng, Jiali Li, Fangling Zeng, Xiaolan Mo |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Professor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Researcher | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 20% |
| Computer Science | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 July 2023.
All research outputs
#7,301,786
of 24,089,711 outputs
Outputs from Frontiers in Pharmacology
#3,128
of 17,961 outputs
Outputs of similar age
#130,631
of 419,573 outputs
Outputs of similar age from Frontiers in Pharmacology
#125
of 1,199 outputs
Altmetric has tracked 24,089,711 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 17,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 82% 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 419,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1,199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.