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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2022
|
| DOI | 10.3389/fncom.2022.900885 |
| Pubmed ID | |
| Authors |
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 20% |
| Unspecified | 1 | 7% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 27% |
| Environmental Science | 1 | 7% |
| Unspecified | 1 | 7% |
| Mathematics | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
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 13 August 2022.
All research outputs
#14,210,999
of 24,262,436 outputs
Outputs from Frontiers in Computational Neuroscience
#548
of 1,405 outputs
Outputs of similar age
#181,393
of 428,169 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 43 outputs
Altmetric has tracked 24,262,436 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 1,405 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 428,169 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 43 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 67% of its contemporaries.