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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Attention-based recurrent neural network for influenza epidemic prediction
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3131-8 |
| Pubmed ID | |
| Authors |
Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Unspecified | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 25 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 27% |
| Unspecified | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 28 | 45% |
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 19 November 2023.
All research outputs
#7,903,723
of 25,286,324 outputs
Outputs from BMC Bioinformatics
#2,867
of 7,672 outputs
Outputs of similar age
#159,526
of 473,109 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 231 outputs
Altmetric has tracked 25,286,324 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 7,672 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 60% 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 473,109 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 65% of its contemporaries.
We're also able to compare this research output to 231 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 61% of its contemporaries.