↓ Skip to main content

Muscle wasting and the temporal gene expression pattern in a novel rat intensive care unit model

Overview of attention for article published in BMC Genomics, December 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
45 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
Muscle wasting and the temporal gene expression pattern in a novel rat intensive care unit model
Published in
BMC Genomics, December 2011
DOI 10.1186/1471-2164-12-602
Pubmed ID
Authors

Monica Llano-Diez, Ann-Marie Gustafson, Carl Olsson, Hanna Goransson, Lars Larsson

Abstract

Acute quadriplegic myopathy (AQM) or critical illness myopathy (CIM) is frequently observed in intensive care unit (ICU) patients. To elucidate duration-dependent effects of the ICU intervention on molecular and functional networks that control the muscle wasting and weakness associated with AQM, a gene expression profile was analyzed at time points varying from 6 hours to 14 days in a unique experimental rat model mimicking ICU conditions, i.e., post-synaptically paralyzed, mechanically ventilated and extensively monitored animals.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Ireland 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 9 20%
Researcher 6 13%
Student > Bachelor 6 13%
Professor 5 11%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 14 31%
Agricultural and Biological Sciences 12 27%
Biochemistry, Genetics and Molecular Biology 6 13%
Nursing and Health Professions 3 7%
Computer Science 2 4%
Other 3 7%
Unknown 5 11%

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 18 December 2011.
All research outputs
#7,762,689
of 12,373,620 outputs
Outputs from BMC Genomics
#4,641
of 7,313 outputs
Outputs of similar age
#117,226
of 221,749 outputs
Outputs of similar age from BMC Genomics
#347
of 574 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% 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 221,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 574 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.