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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes
|
|---|---|
| Published in |
Nature Methods, January 2012
|
| DOI | 10.1038/nmeth.1851 |
| Pubmed ID | |
| Authors |
Gergely Katona, Gergely Szalay, Pál Maák, Attila Kaszás, Máté Veress, Dániel Hillier, Balázs Chiovini, E Sylvester Vizi, Botond Roska, Balázs Rózsa |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Hungary | 2 | 29% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 557 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 3% |
| Germany | 4 | <1% |
| Switzerland | 4 | <1% |
| France | 4 | <1% |
| United Kingdom | 4 | <1% |
| Japan | 2 | <1% |
| Hungary | 2 | <1% |
| Finland | 2 | <1% |
| Italy | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 511 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 187 | 34% |
| Researcher | 143 | 26% |
| Student > Master | 37 | 7% |
| Student > Postgraduate | 30 | 5% |
| Professor | 28 | 5% |
| Other | 73 | 13% |
| Unknown | 59 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 177 | 32% |
| Neuroscience | 90 | 16% |
| Engineering | 78 | 14% |
| Physics and Astronomy | 60 | 11% |
| Medicine and Dentistry | 22 | 4% |
| Other | 58 | 10% |
| Unknown | 72 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 30 August 2023.
All research outputs
#1,418,376
of 25,998,826 outputs
Outputs from Nature Methods
#1,747
of 5,404 outputs
Outputs of similar age
#9,068
of 253,549 outputs
Outputs of similar age from Nature Methods
#15
of 77 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has gotten more attention than average, scoring higher than 67% 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 253,549 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 96% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.