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Predictors and Prevalence of Latent Tuberculosis Infection in Patients Receiving Long-Term Hemodialysis and Peritoneal Dialysis

Overview of attention for article published in PLOS ONE, August 2012
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Title
Predictors and Prevalence of Latent Tuberculosis Infection in Patients Receiving Long-Term Hemodialysis and Peritoneal Dialysis
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042592
Pubmed ID
Authors

Chin-Chung Shu, Vin-Cent Wu, Feng-Jung Yang, Sung-Ching Pan, Tai-Shuan Lai, Jann-Yuan Wang, Jann-Tay Wang, Li-Na Lee

Abstract

Tuberculosis is a common infectious disease in long-term dialysis patients. The prevalence of latent tuberculosis infection (LTBI) in this population is unclear, particularly in those receiving peritoneal dialysis (PD). This study investigated the prevalence of LTBI in patients receiving either hemodialysis (HD) or PD to determine predictors of LTBI and indeterminate results of interferon-gamma release assay.

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

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Bachelor 10 13%
Student > Postgraduate 7 9%
Student > Master 6 8%
Other 5 6%
Other 17 22%
Unknown 20 26%
Readers by discipline Count As %
Medicine and Dentistry 31 40%
Immunology and Microbiology 6 8%
Biochemistry, Genetics and Molecular Biology 4 5%
Agricultural and Biological Sciences 3 4%
Nursing and Health Professions 3 4%
Other 5 6%
Unknown 26 33%
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 01 March 2014.
All research outputs
#14,651,224
of 22,751,628 outputs
Outputs from PLOS ONE
#122,582
of 194,172 outputs
Outputs of similar age
#102,918
of 169,160 outputs
Outputs of similar age from PLOS ONE
#2,662
of 4,312 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 36th percentile – i.e., 36% 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 169,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,312 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.