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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep user identification model with multiple biometric data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03613-3 |
| Pubmed ID | |
| Authors |
Hyoung-Kyu Song, Ebrahim AlAlkeem, Jaewoong Yun, Tae-Ho Kim, Hyerin Yoo, Dasom Heo, Myungsu Chae, Chan Yeob Yeun |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 3 | 7% |
| Lecturer | 1 | 2% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 24 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 16% |
| Engineering | 5 | 12% |
| Medicine and Dentistry | 3 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 23 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 January 2023.
All research outputs
#7,720,903
of 24,002,307 outputs
Outputs from BMC Bioinformatics
#2,951
of 7,492 outputs
Outputs of similar age
#159,218
of 399,860 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 122 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,492 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 399,860 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 59% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.