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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Object Recognition at Higher Regions of the Ventral Visual Stream via Dynamic Inference
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2020
|
| DOI | 10.3389/fncom.2020.00046 |
| Pubmed ID | |
| Authors |
Siamak K. Sorooshyari, Huanjie Sheng, H. Vincent Poor |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
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 % |
|---|---|---|
| Professor > Associate Professor | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Unspecified | 1 | 8% |
| Researcher | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 25% |
| Unspecified | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Computer Science | 1 | 8% |
| Unknown | 6 | 50% |
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 15 October 2020.
All research outputs
#15,036,878
of 25,563,770 outputs
Outputs from Frontiers in Computational Neuroscience
#574
of 1,469 outputs
Outputs of similar age
#222,452
of 435,245 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 32 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
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 gotten more attention than average, scoring higher than 59% 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 435,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 50% of its contemporaries.