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Identification of mechanosensitive genes during skeletal development: alteration of genes associated with cytoskeletal rearrangement and cell signalling pathways

Overview of attention for article published in BMC Genomics, January 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
twitter
4 X users

Citations

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68 Dimensions

Readers on

mendeley
107 Mendeley
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Title
Identification of mechanosensitive genes during skeletal development: alteration of genes associated with cytoskeletal rearrangement and cell signalling pathways
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-48
Pubmed ID
Authors

Rebecca A Rolfe, Niamh C Nowlan, Elaine M Kenny, Paul Cormican, Derek W Morris, Patrick J Prendergast, Daniel Kelly, Paula Murphy

Abstract

Mechanical stimulation is necessary for regulating correct formation of the skeleton. Here we test the hypothesis that mechanical stimulation of the embryonic skeletal system impacts expression levels of genes implicated in developmentally important signalling pathways in a genome wide approach. We use a mutant mouse model with altered mechanical stimulation due to the absence of limb skeletal muscle (Splotch-delayed) where muscle-less embryos show specific defects in skeletal elements including delayed ossification, changes in the size and shape of cartilage rudiments and joint fusion. We used Microarray and RNA sequencing analysis tools to identify differentially expressed genes between muscle-less and control embryonic (TS23) humerus tissue.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Ireland 1 <1%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Student > Master 16 15%
Researcher 15 14%
Student > Bachelor 15 14%
Student > Doctoral Student 7 7%
Other 13 12%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 31%
Biochemistry, Genetics and Molecular Biology 25 23%
Medicine and Dentistry 12 11%
Engineering 8 7%
Neuroscience 3 3%
Other 12 11%
Unknown 14 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 10 March 2014.
All research outputs
#1,261,130
of 22,739,983 outputs
Outputs from BMC Genomics
#248
of 10,630 outputs
Outputs of similar age
#15,548
of 305,475 outputs
Outputs of similar age from BMC Genomics
#13
of 442 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,630 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 305,475 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 94% of its contemporaries.
We're also able to compare this research output to 442 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.