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X Demographics
Mendeley readers
Attention Score in Context
| Title |
End-to-End Automated Latent Fingerprint Identification With Improved DCNN-FFT Enhancement
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2020
|
| DOI | 10.3389/frobt.2020.594412 |
| Pubmed ID | |
| Authors |
Uttam U. Deshpande, V. S. Malemath, Shivanand M. Patil, Sushma V. Chaugule |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 17% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 17% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Chemistry | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |
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 10 October 2022.
All research outputs
#6,513,494
of 23,506,079 outputs
Outputs from Frontiers in Robotics and AI
#426
of 1,561 outputs
Outputs of similar age
#159,373
of 510,004 outputs
Outputs of similar age from Frontiers in Robotics and AI
#16
of 68 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 72% 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 510,004 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 68% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.