| Title |
Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2019
|
| DOI | 10.1186/s12967-019-1783-9 |
| Pubmed ID | |
| Authors |
Zhidai Liu, Tingting Zhou, Xing Han, Tingyuan Lang, Shan Liu, Penghui Zhang, Haiyan Liu, Kexing Wan, Jie Yu, Liang Zhang, Liyan Chen, Roger W. Beuerman, Bin Peng, Lei Zhou, Lin Zou |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 20% |
| Student > Doctoral Student | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Student > Master | 4 | 16% |
| Professor > Associate Professor | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Agricultural and Biological Sciences | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Chemistry | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 10 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 January 2019.
All research outputs
#18,664,348
of 23,124,001 outputs
Outputs from Journal of Translational Medicine
#2,996
of 4,062 outputs
Outputs of similar age
#324,642
of 437,851 outputs
Outputs of similar age from Journal of Translational Medicine
#48
of 93 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 437,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.