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Mendeley readers
Attention Score in Context
Title |
Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population
|
---|---|
Published in |
Journal of Translational Medicine, March 2020
|
DOI | 10.1186/s12967-020-02312-0 |
Pubmed ID | |
Authors |
Xia Ma, Yanping Wu, Ling Zhang, Weilan Yuan, Li Yan, Sha Fan, Yunzhi Lian, Xia Zhu, Junhui Gao, Jiangman Zhao, Ping Zhang, Hui Tang, Weihua Jia |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 8% |
Student > Bachelor | 4 | 8% |
Student > Master | 3 | 6% |
Researcher | 3 | 6% |
Student > Ph. D. Student | 2 | 4% |
Other | 5 | 10% |
Unknown | 28 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 18% |
Medicine and Dentistry | 6 | 12% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Earth and Planetary Sciences | 1 | 2% |
Chemical Engineering | 1 | 2% |
Other | 2 | 4% |
Unknown | 28 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 06 November 2023.
All research outputs
#2,746,568
of 24,755,976 outputs
Outputs from Journal of Translational Medicine
#469
of 4,469 outputs
Outputs of similar age
#62,824
of 374,507 outputs
Outputs of similar age from Journal of Translational Medicine
#15
of 61 outputs
Altmetric has tracked 24,755,976 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 89% 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 374,507 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 83% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.