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A high throughput approach for analysis of cell nuclear deformability at single cell level

Overview of attention for article published in Scientific Reports, November 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
Title
A high throughput approach for analysis of cell nuclear deformability at single cell level
Published in
Scientific Reports, November 2016
DOI 10.1038/srep36917
Pubmed ID
Authors

Menekse Ermis, Derya Akkaynak, Pu Chen, Utkan Demirci, Vasif Hasirci

Abstract

Various physiological and pathological processes, such as cell differentiation, migration, attachment, and metastasis are highly dependent on nuclear elasticity. Nuclear morphology directly reflects the elasticity of the nucleus. We propose that quantification of changes in nuclear morphology on surfaces with defined topography will enable us to assess nuclear elasticity and deformability. Here, we used soft lithography techniques to produce 3 dimensional (3-D) cell culture substrates decorated with micron sized pillar structures of variable aspect ratios and dimensions to induce changes in cellular and nuclear morphology. We developed a high content image analysis algorithm to quantify changes in nuclear morphology at the single-cell level in response to physical cues from the 3-D culture substrate. We present that nuclear stiffness can be used as a physical parameter to evaluate cancer cells based on their lineage and in comparison to non-cancerous cells originating from the same tissue type. This methodology can be exploited for systematic study of mechanical characteristics of large cell populations complementing conventional tools such as atomic force microscopy and nanoindentation.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
United Kingdom 1 2%
Turkey 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Student > Master 7 17%
Researcher 6 15%
Student > Bachelor 6 15%
Student > Doctoral Student 5 12%
Other 8 20%
Readers by discipline Count As %
Engineering 13 32%
Biochemistry, Genetics and Molecular Biology 9 22%
Unspecified 5 12%
Materials Science 4 10%
Agricultural and Biological Sciences 4 10%
Other 6 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 December 2016.
All research outputs
#6,742,199
of 12,819,602 outputs
Outputs from Scientific Reports
#25,072
of 60,339 outputs
Outputs of similar age
#143,877
of 371,579 outputs
Outputs of similar age from Scientific Reports
#2,300
of 5,366 outputs
Altmetric has tracked 12,819,602 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 60,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 57% 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 371,579 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 5,366 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.