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Development of a robust flow cytometry-based pharmacodynamic assay to detect phospho-protein signals for phosphatidylinositol 3-kinase inhibitors in multiple myeloma

Overview of attention for article published in Journal of Translational Medicine, March 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Development of a robust flow cytometry-based pharmacodynamic assay to detect phospho-protein signals for phosphatidylinositol 3-kinase inhibitors in multiple myeloma
Published in
Journal of Translational Medicine, March 2013
DOI 10.1186/1479-5876-11-76
Pubmed ID
Authors

Congfen Li, Chikara Takahashi, Liangxuan Zhang, Mahrukh Huseni, Basha Stankovich, Haider Mashhedi, Joanna Lee, Dorothy French, Jeff Eastham Anderson, Doris Kim, Kathy Howell, Matthew J Brauer, Marcin Kowanetz, Yibing Yan, Eric Humke, Allen Ebens, Garret Hampton, Mark R Lackner, Priti Hegde, Shidong Jia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Researcher 8 26%
Other 4 13%
Professor > Associate Professor 3 10%
Student > Master 2 6%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Agricultural and Biological Sciences 6 19%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 2 6%
Other 4 13%
Unknown 5 16%
Attention Score in Context

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 21 July 2020.
All research outputs
#7,475,808
of 22,854,458 outputs
Outputs from Journal of Translational Medicine
#1,237
of 4,000 outputs
Outputs of similar age
#65,701
of 197,810 outputs
Outputs of similar age from Journal of Translational Medicine
#24
of 58 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 197,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 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 51% of its contemporaries.