↓ Skip to main content

Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth

Overview of attention for article published in PLoS Computational Biology, March 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
video
2 YouTube creators

Citations

dimensions_citation
616 Dimensions

Readers on

mendeley
750 Mendeley
citeulike
2 CiteULike
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
Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth
Published in
PLoS Computational Biology, March 2009
DOI 10.1371/journal.pcbi.1000324
Pubmed ID
Authors

Junghyo Jo, Oksana Gavrilova, Stephanie Pack, William Jou, Shawn Mullen, Anne E. Sumner, Samuel W. Cushman, Vipul Periwal

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 750 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Ireland 2 <1%
Italy 2 <1%
Japan 2 <1%
United States 2 <1%
Spain 2 <1%
Turkey 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Other 6 <1%
Unknown 729 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 128 17%
Student > Master 114 15%
Student > Bachelor 105 14%
Researcher 86 11%
Student > Doctoral Student 50 7%
Other 97 13%
Unknown 170 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 164 22%
Biochemistry, Genetics and Molecular Biology 133 18%
Medicine and Dentistry 110 15%
Nursing and Health Professions 29 4%
Engineering 17 2%
Other 100 13%
Unknown 197 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 31 March 2023.
All research outputs
#2,377,716
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#2,120
of 9,035 outputs
Outputs of similar age
#7,296
of 109,579 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 50 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 76% 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 109,579 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.