↓ Skip to main content

Nanoparticle‐Based Fluoroionophore for Analysis of Potassium Ion Dynamics in 3D Tissue Models and In Vivo

Overview of attention for article published in Advanced Functional Materials, January 2018
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
54 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nanoparticle‐Based Fluoroionophore for Analysis of Potassium Ion Dynamics in 3D Tissue Models and In Vivo
Published in
Advanced Functional Materials, January 2018
DOI 10.1002/adfm.201704598
Pubmed ID
Authors

Bernhard J. Müller, Alexander V. Zhdanov, Sergey M. Borisov, Tara Foley, Irina A. Okkelman, Vassiliy Tsytsarev, Qinggong Tang, Reha S. Erzurumlu, Yu Chen, Haijiang Zhang, Claudio Toncelli, Ingo Klimant, Dmitri B. Papkovsky, Ruslan I. Dmitriev

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 11 20%
Student > Master 9 17%
Student > Bachelor 4 7%
Other 4 7%
Other 4 7%
Unknown 11 20%
Readers by discipline Count As %
Chemistry 13 24%
Neuroscience 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Agricultural and Biological Sciences 4 7%
Engineering 3 6%
Other 7 13%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 May 2022.
All research outputs
#6,981,937
of 25,837,817 outputs
Outputs from Advanced Functional Materials
#3,339
of 12,951 outputs
Outputs of similar age
#127,021
of 454,510 outputs
Outputs of similar age from Advanced Functional Materials
#57
of 203 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 12,951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 74% 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 454,510 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 71% of its contemporaries.
We're also able to compare this research output to 203 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 71% of its contemporaries.