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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, February 2022
|
| DOI | 10.3389/fncom.2022.826278 |
| Pubmed ID | |
| Authors |
Alessandro R. Galloni, Aya Samadzelkava, Kiran Hiremath, Reuben Oumnov, Aaron D. Milstein |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 24% |
| United Kingdom | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 6 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 42% |
| Student > Bachelor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 58% |
| Chemistry | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 February 2022.
All research outputs
#3,792,671
of 26,456,908 outputs
Outputs from Frontiers in Computational Neuroscience
#168
of 1,497 outputs
Outputs of similar age
#92,119
of 540,645 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 31 outputs
Altmetric has tracked 26,456,908 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,497 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 88% 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 540,645 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 82% of its contemporaries.
We're also able to compare this research output to 31 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.