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Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics

Overview of attention for article published in BMC Systems Biology, October 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Citations

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11 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics
Published in
BMC Systems Biology, October 2018
DOI 10.1186/s12918-018-0605-7
Pubmed ID
Authors

Daniel Cook, Sirisha Achanta, Jan B. Hoek, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 12%
Student > Master 5 12%
Student > Postgraduate 3 7%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 31%
Agricultural and Biological Sciences 8 19%
Medicine and Dentistry 5 12%
Engineering 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 3 7%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 October 2018.
All research outputs
#15,546,615
of 23,105,443 outputs
Outputs from BMC Systems Biology
#646
of 1,144 outputs
Outputs of similar age
#215,781
of 344,075 outputs
Outputs of similar age from BMC Systems Biology
#7
of 10 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 344,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.