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Calcium-deficiency assessment and biomarker identification by an integrated urinary metabonomics analysis

Overview of attention for article published in BMC Medicine, March 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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Calcium-deficiency assessment and biomarker identification by an integrated urinary metabonomics analysis
Published in
BMC Medicine, March 2013
DOI 10.1186/1741-7015-11-86
Pubmed ID
Authors

Maoqing Wang, Xue Yang, Fan Wang, Ran Li, Hua Ning, Lixin Na, Yifan Huang, Yue Song, Liyan Liu, Hongzhi Pan, Qiuju Zhang, Lijun Fan, Ying Li, Changhao Sun

Abstract

Calcium deficiency is a global public-health problem. Although the initial stage of calcium deficiency can lead to metabolic alterations or potential pathological changes, calcium deficiency is difficult to diagnose accurately. Moreover, the details of the molecular mechanism of calcium deficiency remain somewhat elusive. To accurately assess and provide appropriate nutritional intervention, we carried out a global analysis of metabolic alterations in response to calcium deficiency.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
United States 1 1%
Denmark 1 1%
South Africa 1 1%
Unknown 74 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 14%
Student > Master 11 14%
Student > Ph. D. Student 10 13%
Student > Bachelor 8 10%
Student > Postgraduate 5 6%
Other 15 19%
Unknown 18 23%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Agricultural and Biological Sciences 11 14%
Nursing and Health Professions 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Chemistry 4 5%
Other 14 18%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 March 2023.
All research outputs
#3,045,333
of 24,416,081 outputs
Outputs from BMC Medicine
#1,841
of 3,765 outputs
Outputs of similar age
#24,807
of 201,268 outputs
Outputs of similar age from BMC Medicine
#55
of 92 outputs
Altmetric has tracked 24,416,081 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one has gotten more attention than average, scoring higher than 51% 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 201,268 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 87% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.