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Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia

Overview of attention for article published in Journal of Translational Medicine, January 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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10 Dimensions

Readers on

mendeley
24 Mendeley
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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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Bachelor 4 17%
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Professor > Associate Professor 2 8%
Other 0 0%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Agricultural and Biological Sciences 2 8%
Immunology and Microbiology 2 8%
Chemistry 2 8%
Nursing and Health Professions 1 4%
Other 4 17%
Unknown 10 42%
Attention Score in Context

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.