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High Rates of Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus Infections and Uncommon HBV Genotype/Subtype and HCV Subtype Distributions among Transgender…

Overview of attention for article published in Japanese Journal of Infectious Diseases, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 428)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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11 tweeters

Readers on

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30 Mendeley
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Title
High Rates of Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus Infections and Uncommon HBV Genotype/Subtype and HCV Subtype Distributions among Transgender Individuals in Surabaya, Indonesia
Published in
Japanese Journal of Infectious Diseases, January 2016
DOI 10.7883/yoken.jjid.2015.384
Pubmed ID
Authors

Alfonsus Adrian Hadikusumo, Takako Utsumi, Mochamad Amin, Siti Qamariyah Khairunisa, Anittaqwa Istimagfirah, Rury Mega Wahyuni, Maria Inge Lusida, Soetjipto, Edhi Rianto, Juniastuti, Yoshitake Hayashi

Abstract

Transgender people are at high risk of sexually transmitted viruses such as hepatitis B virus (HBV) and human immunodeficiency virus (HIV). Moreover, Indonesia has a moderate to high rate of HBV infection and a rapid epidemic growth of HIV. Because hepatitis C virus (HCV) can co-occur with HBV and HIV, it was also evaluated in this study. Ten of 107 individuals (9.3%) were Hepatitis B surface antigen (HBsAg) positive and/or HBV DNA positive, whereas nineteen of 101 individuals (18.8%) with negative HBsAg were Hepatitis B core antibody (anti-HBc)-positive. Seven of 107 individuals (6.5%) were anti-HCV positive, and sixteen of 100 tested samples (16%) were HIV positive. Genotype and subtype analyses of all ten HBV DNA (six HBsAg positive and four anti-HBc positive) strains showed that three were HBV genotype/HBsAg subtype C/adrq+, one was C/adw2, and five were B/adw2. The HCV subtype distribution showed that 33.3% were HCV-1b, and 66.7% were HCV-3k (n=6). These distributions differed from those found in the general population of Surabaya, Indonesia. The HIV subtype analysis showed that, interestingly, a high prevalence of HIV, with possible recombinants of CRF01_AE and subtype B, were found.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Lecturer 3 10%
Other 3 10%
Other 9 30%
Unknown 4 13%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Psychology 5 17%
Immunology and Microbiology 2 7%
Agricultural and Biological Sciences 2 7%
Mathematics 2 7%
Other 5 17%
Unknown 8 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 May 2017.
All research outputs
#3,232,982
of 14,014,383 outputs
Outputs from Japanese Journal of Infectious Diseases
#16
of 428 outputs
Outputs of similar age
#65,643
of 263,158 outputs
Outputs of similar age from Japanese Journal of Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 14,014,383 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 428 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 96% 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 263,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
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