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Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study

Overview of attention for article published in Journal of Translational Medicine, January 2014
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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14 Mendeley
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Title
Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study
Published in
Journal of Translational Medicine, January 2014
DOI 10.1186/1479-5876-12-78
Pubmed ID
Authors

Liu Hui, Liu Qigui, Ren Sashuang, Liu Xiliang, Luan Guihong

Abstract

The clinical prediction of survival is among the most challenging tasks because it refers to the process whereby the medical team assimilates clinical data using subjective methods. The purpose of this prospective observational study was to develop a model for evaluating survival time using objective laboratory parameters.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 57%
Other 1 7%
Lecturer 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Pharmacology, Toxicology and Pharmaceutical Science 2 14%
Agricultural and Biological Sciences 2 14%
Nursing and Health Professions 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 2 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 March 2014.
All research outputs
#19,013,639
of 21,365,584 outputs
Outputs from Journal of Translational Medicine
#3,124
of 3,689 outputs
Outputs of similar age
#176,383
of 206,322 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 21,365,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 1st percentile – i.e., 1% 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 206,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them