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Evaluation of Peripheral Blood Mononuclear Cell Processing and Analysis for Survival Motor Neuron Protein

Overview of attention for article published in PLOS ONE, November 2012
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user
patent
7 patents

Citations

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16 Dimensions

Readers on

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41 Mendeley
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Title
Evaluation of Peripheral Blood Mononuclear Cell Processing and Analysis for Survival Motor Neuron Protein
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050763
Pubmed ID
Authors

Dione T. Kobayashi, Douglas Decker, Phillip Zaworski, Karen Klott, Julie McGonigal, Nabil Ghazal, Laurel Sly, Brett Chung, James Vanderlugt, Karen S. Chen

Abstract

Survival Motor Neuron (SMN) protein levels may become key pharmacodynamic (PD) markers in spinal muscular atrophy (SMA) clinical trials. SMN protein in peripheral blood mononuclear cells (PBMCs) can be quantified for trials using an enzyme-linked immunosorbent assay (ELISA). We developed protocols to collect, process, store and analyze these samples in a standardized manner for SMA clinical studies, and to understand the impact of age and intraindividual variability over time on PBMC SMN signal.

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

Geographical breakdown

Country Count As %
Burkina Faso 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 6 15%
Student > Bachelor 6 15%
Student > Master 5 12%
Other 2 5%
Other 3 7%
Unknown 7 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 27%
Agricultural and Biological Sciences 9 22%
Medicine and Dentistry 6 15%
Neuroscience 4 10%
Nursing and Health Professions 2 5%
Other 3 7%
Unknown 6 15%
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 27 December 2022.
All research outputs
#4,674,359
of 23,420,064 outputs
Outputs from PLOS ONE
#67,049
of 200,414 outputs
Outputs of similar age
#47,698
of 280,403 outputs
Outputs of similar age from PLOS ONE
#1,038
of 4,728 outputs
Altmetric has tracked 23,420,064 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 200,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 66% 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 280,403 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 82% of its contemporaries.
We're also able to compare this research output to 4,728 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.