↓ Skip to main content

Plasma Protein and MicroRNA Biomarkers of Insulin Resistance: A Network-Based Integrative -Omics Analysis

Overview of attention for article published in Frontiers in Physiology, April 2019
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
32 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
Plasma Protein and MicroRNA Biomarkers of Insulin Resistance: A Network-Based Integrative -Omics Analysis
Published in
Frontiers in Physiology, April 2019
DOI 10.3389/fphys.2019.00379
Pubmed ID
Authors

Hyungwon Choi, Hiromi W. L. Koh, Lihan Zhou, He Cheng, Tze Ping Loh, Ehsan Parvaresh Rizi, Sue Anne Toh, Gabriele V. Ronnett, Bevan E. Huang, Chin Meng Khoo

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Other 3 9%
Researcher 3 9%
Student > Bachelor 2 6%
Other 2 6%
Unknown 13 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 28%
Medicine and Dentistry 5 16%
Nursing and Health Professions 1 3%
Decision Sciences 1 3%
Materials Science 1 3%
Other 0 0%
Unknown 15 47%
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 02 September 2021.
All research outputs
#7,315,218
of 24,145,400 outputs
Outputs from Frontiers in Physiology
#3,485
of 14,778 outputs
Outputs of similar age
#130,492
of 356,429 outputs
Outputs of similar age from Frontiers in Physiology
#135
of 390 outputs
Altmetric has tracked 24,145,400 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14,778 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 75% 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 356,429 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 63% of its contemporaries.
We're also able to compare this research output to 390 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 65% of its contemporaries.