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Optimising parameters for the differentiation of SH-SY5Y cells to study cell adhesion and cell migration

Overview of attention for article published in BMC Research Notes, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
486 Mendeley
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Title
Optimising parameters for the differentiation of SH-SY5Y cells to study cell adhesion and cell migration
Published in
BMC Research Notes, September 2013
DOI 10.1186/1756-0500-6-366
Pubmed ID
Authors

Susan Dwane, Edel Durack, Patrick A Kiely

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
United Kingdom 3 <1%
France 2 <1%
Portugal 2 <1%
India 2 <1%
Turkey 1 <1%
Switzerland 1 <1%
Israel 1 <1%
South Africa 1 <1%
Other 5 1%
Unknown 464 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 124 26%
Student > Master 81 17%
Researcher 67 14%
Student > Bachelor 65 13%
Student > Doctoral Student 17 3%
Other 42 9%
Unknown 90 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 25%
Biochemistry, Genetics and Molecular Biology 96 20%
Neuroscience 62 13%
Medicine and Dentistry 28 6%
Engineering 19 4%
Other 54 11%
Unknown 104 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 December 2022.
All research outputs
#4,978,221
of 26,017,215 outputs
Outputs from BMC Research Notes
#736
of 4,551 outputs
Outputs of similar age
#40,960
of 214,051 outputs
Outputs of similar age from BMC Research Notes
#11
of 53 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 82% 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 214,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.