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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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
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.