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Subhealth: definition, criteria for diagnosis and potential prevalence in the central region of China

Overview of attention for article published in BMC Public Health, May 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
66 Mendeley
Title
Subhealth: definition, criteria for diagnosis and potential prevalence in the central region of China
Published in
BMC Public Health, May 2013
DOI 10.1186/1471-2458-13-446
Pubmed ID
Authors

Guolin Li, Fuxia Xie, Siyu Yan, Xiaofei Hu, Bo Jin, Jun Wang, Jinfeng Wu, Dazhong Yin, Qingji Xie

Abstract

A full evaluation of health conditions is necessary for the effective implementation of public health interventions. However, terms to address the intermediate state between health and disease are lacking, leading the public to overlook this state and thus increasing the risks of developing disease.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Student > Bachelor 7 11%
Researcher 7 11%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Nursing and Health Professions 11 17%
Sports and Recreations 3 5%
Social Sciences 3 5%
Psychology 3 5%
Other 15 23%
Unknown 20 30%
Attention Score in Context

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 24 December 2019.
All research outputs
#2,410,473
of 22,753,345 outputs
Outputs from BMC Public Health
#2,781
of 14,828 outputs
Outputs of similar age
#21,377
of 192,890 outputs
Outputs of similar age from BMC Public Health
#43
of 305 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 81% 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 192,890 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 88% of its contemporaries.
We're also able to compare this research output to 305 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.