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Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, November 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China
Published in
Brazilian Journal of Medical and Biological Research, November 2013
DOI 10.1590/1414-431x20132948
Pubmed ID
Authors

L. Shi, X.C. Wang, Y.S. Wang

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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Bachelor 9 16%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 3 5%
Researcher 3 5%
Other 9 16%
Unknown 15 27%
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Nursing and Health Professions 5 9%
Engineering 4 7%
Mathematics 3 5%
Neuroscience 2 4%
Other 11 20%
Unknown 17 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 December 2016.
All research outputs
#14,893,675
of 22,925,760 outputs
Outputs from Brazilian Journal of Medical and Biological Research
#666
of 1,174 outputs
Outputs of similar age
#183,278
of 303,051 outputs
Outputs of similar age from Brazilian Journal of Medical and Biological Research
#2
of 6 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,174 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 40th percentile – i.e., 40% 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 303,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.