↓ Skip to main content

An integrative genomic analysis of transcriptional profiles identifies characteristic genes and patterns in HIV-infected long-term non-progressors and elite controllers

Overview of attention for article published in Journal of Translational Medicine, January 2019
Altmetric Badge

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 (68th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
36 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An integrative genomic analysis of transcriptional profiles identifies characteristic genes and patterns in HIV-infected long-term non-progressors and elite controllers
Published in
Journal of Translational Medicine, January 2019
DOI 10.1186/s12967-019-1777-7
Pubmed ID
Authors

Jiwei Ding, Ling Ma, Jianyuan Zhao, Yongli Xie, Jinming Zhou, Xiaoyu Li, Shan Cen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 5 14%
Student > Bachelor 4 11%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Other 3 8%
Unknown 11 31%
Readers by discipline Count As %
Immunology and Microbiology 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Social Sciences 1 3%
Other 3 8%
Unknown 14 39%
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 02 April 2020.
All research outputs
#14,969,891
of 24,226,848 outputs
Outputs from Journal of Translational Medicine
#1,865
of 4,315 outputs
Outputs of similar age
#238,089
of 446,039 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 93 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,315 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 54% 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 446,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.