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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Three-Photon Adaptive Optics for Mouse Brain Imaging
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2022
|
| DOI | 10.3389/fnins.2022.880859 |
| Pubmed ID | |
| Authors |
David Sinefeld, Fei Xia, Mengran Wang, Tianyu Wang, Chunyan Wu, Xusan Yang, Hari P. Paudel, Dimitre G. Ouzounov, Thomas G. Bifano, Chris Xu |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 33% |
| United States | 3 | 25% |
| Slovenia | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 6 | 18% |
| Professor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 7 | 21% |
| Engineering | 6 | 18% |
| Neuroscience | 5 | 15% |
| Agricultural and Biological Sciences | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 8 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 June 2022.
All research outputs
#5,267,010
of 25,918,061 outputs
Outputs from Frontiers in Neuroscience
#3,969
of 11,732 outputs
Outputs of similar age
#108,112
of 447,850 outputs
Outputs of similar age from Frontiers in Neuroscience
#117
of 494 outputs
Altmetric has tracked 25,918,061 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,732 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 66% 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 447,850 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 75% of its contemporaries.
We're also able to compare this research output to 494 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.