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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Neuron-Based Screening Platform for Optimizing Genetically-Encoded Calcium Indicators
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0077728 |
| Pubmed ID | |
| Authors |
Trevor J. Wardill, Tsai-Wen Chen, Eric R. Schreiter, Jeremy P. Hasseman, Getahun Tsegaye, Benjamin F. Fosque, Reza Behnam, Brenda C. Shields, Melissa Ramirez, Bruce E. Kimmel, Rex A. Kerr, Vivek Jayaraman, Loren L. Looger, Karel Svoboda, Douglas S. Kim |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| Japan | 2 | 1% |
| United Kingdom | 1 | <1% |
| Greece | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 171 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 25% |
| Researcher | 43 | 24% |
| Student > Doctoral Student | 16 | 9% |
| Student > Bachelor | 13 | 7% |
| Professor > Associate Professor | 11 | 6% |
| Other | 31 | 17% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 30% |
| Neuroscience | 48 | 27% |
| Biochemistry, Genetics and Molecular Biology | 21 | 12% |
| Chemistry | 7 | 4% |
| Engineering | 7 | 4% |
| Other | 18 | 10% |
| Unknown | 25 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 11 August 2021.
All research outputs
#4,726,082
of 25,998,826 outputs
Outputs from PLOS ONE
#82,905
of 225,406 outputs
Outputs of similar age
#41,169
of 228,335 outputs
Outputs of similar age from PLOS ONE
#1,255
of 5,259 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 63% 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 228,335 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 81% of its contemporaries.
We're also able to compare this research output to 5,259 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.