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Dove Medical Press

Cross-reactivity of human monoclonal antibodies generated with peripheral blood lymphocytes from dengue patients with Japanese encephalitis virus

Overview of attention for article published in Biologics: Targets & Therapy, August 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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1 policy source
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1 X user
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1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
32 Mendeley
Title
Cross-reactivity of human monoclonal antibodies generated with peripheral blood lymphocytes from dengue patients with Japanese encephalitis virus
Published in
Biologics: Targets & Therapy, August 2013
DOI 10.2147/btt.s47438
Pubmed ID
Authors

Chonlatip Pipattanaboon, Tadahiro Sasaki, Mitsuhiro Nishimura, Chayanee Setthapramote, Pannamthip Pitaksajjakul, Pornsawan Leaungwutiwong, Kriengsak Limkittikul, Orapim Puiprom, Mikiko Sasayama, Panjaporn Chaichana, Tamaki Okabayashi, Takeshi Kurosu, Ken-ichiro Ono, Pongrama Ramasoota, Kazuyoshi Ikuta

Abstract

Hybridomas that produce human monoclonal antibodies (HuMAbs) against Dengue virus (DV) had been prepared previously using peripheral blood lymphocytes from patients with DV during the acute and convalescent phases of a secondary infection. Anti-DV envelope glycoprotein (E) 99 clones, anti-DV premembrane protein (prM) 8 clones, and anti-DV nonstructural protein 1 (NS1) 4 clones were derived from four acute-phase patients, and anti-DV E 2 clones, anti-DV prM 2 clones, and anti-DV NS1 8 clones were derived from five convalescent-phase patients.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Unspecified 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 8 25%
Unknown 3 9%
Readers by discipline Count As %
Immunology and Microbiology 10 31%
Medicine and Dentistry 6 19%
Unspecified 3 9%
Agricultural and Biological Sciences 3 9%
Environmental Science 1 3%
Other 3 9%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 April 2016.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from Biologics: Targets & Therapy
#101
of 284 outputs
Outputs of similar age
#64,589
of 210,078 outputs
Outputs of similar age from Biologics: Targets & Therapy
#2
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 63% 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 210,078 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.