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X Demographics
Mendeley readers
Attention Score in Context
Title |
From Topological Analyses to Functional Modeling: The Case of Hippocampus
|
---|---|
Published in |
Frontiers in Computational Neuroscience, January 2021
|
DOI | 10.3389/fncom.2020.593166 |
Pubmed ID | |
Authors |
Yuri Dabaghian |
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 | 1 | 14% |
Puerto Rico | 1 | 14% |
United Kingdom | 1 | 14% |
Kenya | 1 | 14% |
Switzerland | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
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 | 3 | 21% |
Student > Ph. D. Student | 3 | 21% |
Student > Postgraduate | 2 | 14% |
Student > Master | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 3 | 21% |
Agricultural and Biological Sciences | 2 | 14% |
Psychology | 2 | 14% |
Physics and Astronomy | 1 | 7% |
Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 January 2021.
All research outputs
#12,910,718
of 23,274,744 outputs
Outputs from Frontiers in Computational Neuroscience
#440
of 1,369 outputs
Outputs of similar age
#215,056
of 504,225 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#12
of 34 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 504,225 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 56% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.