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In vitro tissue-engineered adipose constructs for modeling disease

Overview of attention for article published in BMC Biomedical Engineering, October 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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23 Dimensions

Readers on

mendeley
96 Mendeley
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Title
In vitro tissue-engineered adipose constructs for modeling disease
Published in
BMC Biomedical Engineering, October 2019
DOI 10.1186/s42490-019-0027-7
Pubmed ID
Authors

Connor S. Murphy, Lucy Liaw, Michaela R. Reagan

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

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 13%
Student > Master 12 13%
Student > Bachelor 10 10%
Student > Ph. D. Student 10 10%
Student > Doctoral Student 8 8%
Other 5 5%
Unknown 39 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 25%
Engineering 8 8%
Medicine and Dentistry 6 6%
Agricultural and Biological Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 9 9%
Unknown 44 46%
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 26 March 2020.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Biomedical Engineering
#26
of 34 outputs
Outputs of similar age
#216,293
of 365,238 outputs
Outputs of similar age from BMC Biomedical Engineering
#4
of 4 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 34 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one scored the same or higher as 8 of them.
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 365,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
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.