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Mendeley readers
Attention Score in Context
| Title |
Simultaneous two-photon calcium imaging at different depths with spatiotemporal multiplexing
|
|---|---|
| Published in |
Nature Methods, January 2011
|
| DOI | 10.1038/nmeth.1552 |
| Pubmed ID | |
| Authors |
Adrian Cheng, J Tiago Gonçalves, Peyman Golshani, Katsushi Arisaka, Carlos Portera-Cailliau |
| Abstract |
In vivo two-photon calcium imaging would benefit from the use of multiple excitation beams to increase scanning speed, signal-to-noise ratio and field of view or to image different axial planes simultaneously. Using spatiotemporal multiplexing we circumvented light-scattering ambiguity inherent to deep-tissue multifocal two-photon microscopy. We demonstrate calcium imaging at multiple axial planes in the intact mouse brain to monitor network activity of ensembles of cortical neurons in three spatial dimensions. |
Mendeley readers
The data shown below were compiled from readership statistics for 485 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| Germany | 4 | <1% |
| Japan | 3 | <1% |
| United Kingdom | 3 | <1% |
| Portugal | 2 | <1% |
| Netherlands | 2 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | 1% |
| Unknown | 452 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 136 | 28% |
| Researcher | 135 | 28% |
| Student > Master | 43 | 9% |
| Student > Bachelor | 21 | 4% |
| Professor | 21 | 4% |
| Other | 71 | 15% |
| Unknown | 58 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 159 | 33% |
| Neuroscience | 72 | 15% |
| Engineering | 69 | 14% |
| Physics and Astronomy | 58 | 12% |
| Biochemistry, Genetics and Molecular Biology | 14 | 3% |
| Other | 49 | 10% |
| Unknown | 64 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 19 April 2022.
All research outputs
#1,638,284
of 23,563,389 outputs
Outputs from Nature Methods
#1,897
of 5,046 outputs
Outputs of similar age
#9,178
of 184,390 outputs
Outputs of similar age from Nature Methods
#13
of 55 outputs
Altmetric has tracked 23,563,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.3. This one has gotten more attention than average, scoring higher than 62% 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 184,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 55 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.