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Modelling and prediction of global non-communicable diseases

Overview of attention for article published in BMC Public Health, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
381 Mendeley
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Title
Modelling and prediction of global non-communicable diseases
Published in
BMC Public Health, June 2020
DOI 10.1186/s12889-020-08890-4
Pubmed ID
Authors

Yang Wang, Jinfeng Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 381 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 44 12%
Student > Master 43 11%
Student > Ph. D. Student 24 6%
Researcher 23 6%
Lecturer 17 4%
Other 51 13%
Unknown 179 47%
Readers by discipline Count As %
Medicine and Dentistry 57 15%
Nursing and Health Professions 50 13%
Agricultural and Biological Sciences 11 3%
Psychology 11 3%
Biochemistry, Genetics and Molecular Biology 8 2%
Other 57 15%
Unknown 187 49%
Attention Score in Context

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 14 November 2023.
All research outputs
#8,049,414
of 24,192,521 outputs
Outputs from BMC Public Health
#8,495
of 15,941 outputs
Outputs of similar age
#165,140
of 401,292 outputs
Outputs of similar age from BMC Public Health
#225
of 390 outputs
Altmetric has tracked 24,192,521 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 42nd percentile – i.e., 42% 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 401,292 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 54% of its contemporaries.
We're also able to compare this research output to 390 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.