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High-throughput-compatible assays using a genetically-encoded calcium indicator

Overview of attention for article published in Scientific Reports, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
77 Mendeley
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Title
High-throughput-compatible assays using a genetically-encoded calcium indicator
Published in
Scientific Reports, September 2019
DOI 10.1038/s41598-019-49070-8
Pubmed ID
Authors

Nyantsz Wu, Walter K. Nishioka, Noël C. Derecki, Michael P. Maher

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

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 15 19%
Student > Bachelor 8 10%
Student > Master 8 10%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 12 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 29%
Neuroscience 12 16%
Agricultural and Biological Sciences 8 10%
Chemistry 5 6%
Engineering 4 5%
Other 11 14%
Unknown 15 19%
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 06 September 2019.
All research outputs
#13,075,529
of 23,155,957 outputs
Outputs from Scientific Reports
#56,642
of 125,203 outputs
Outputs of similar age
#157,091
of 340,326 outputs
Outputs of similar age from Scientific Reports
#1,540
of 3,327 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125,203 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 54% 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 340,326 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 53% of its contemporaries.
We're also able to compare this research output to 3,327 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 53% of its contemporaries.