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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ANINet: a deep neural network for skull ancestry estimation
|
|---|---|
| Published in |
BMC Bioinformatics, November 2021
|
| DOI | 10.1186/s12859-021-04444-6 |
| Pubmed ID | |
| Authors |
Lin Pengyue, Xia Siyuan, Jiang Yi, Yang Wen, Liu Xiaoning, Geng Guohua, Wang Shixiong |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Sweden | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Professor | 1 | 9% |
| Other | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Arts and Humanities | 1 | 9% |
| Social Sciences | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 6 | 55% |
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 19 March 2024.
All research outputs
#14,694,615
of 25,522,520 outputs
Outputs from BMC Bioinformatics
#4,045
of 7,713 outputs
Outputs of similar age
#189,693
of 439,778 outputs
Outputs of similar age from BMC Bioinformatics
#98
of 167 outputs
Altmetric has tracked 25,522,520 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,713 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 439,778 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 55% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.