The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
A survey of neurophysiological differentiation across mouse visual brain areas and timescales
|
---|---|
Published in |
Frontiers in Computational Neuroscience, March 2023
|
DOI | 10.3389/fncom.2023.1040629 |
Pubmed ID | |
Authors |
Saurabh R. Gandhi, William G. P. Mayner, William Marshall, Yazan N. Billeh, Corbett Bennett, Samuel D. Gale, Chris Mochizuki, Joshua H. Siegle, Shawn Olsen, Giulio Tononi, Christof Koch, Anton Arkhipov |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
Switzerland | 1 | 9% |
Australia | 1 | 9% |
Belgium | 1 | 9% |
Canada | 1 | 9% |
Singapore | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 29% |
Unspecified | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Professor | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 5 | 36% |
Unspecified | 2 | 14% |
Medicine and Dentistry | 2 | 14% |
Mathematics | 1 | 7% |
Engineering | 1 | 7% |
Other | 0 | 0% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 March 2023.
All research outputs
#7,265,900
of 25,550,333 outputs
Outputs from Frontiers in Computational Neuroscience
#349
of 1,469 outputs
Outputs of similar age
#129,033
of 426,650 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 24 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,469 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 75% 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 426,650 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 69% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.