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X Demographics
Mendeley readers
Attention Score in Context
| Title |
vi-HMM: a novel HMM-based method for sequence variant identification in short-read data
|
|---|---|
| Published in |
Human Genomics, February 2019
|
| DOI | 10.1186/s40246-019-0194-6 |
| Pubmed ID | |
| Authors |
Man Tang, Mohammad Shabbir Hasan, Hongxiao Zhu, Liqing Zhang, Xiaowei Wu |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 36% |
| Researcher | 5 | 23% |
| Student > Master | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Agricultural and Biological Sciences | 3 | 14% |
| Engineering | 3 | 14% |
| Computer Science | 3 | 14% |
| Materials Science | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 February 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Human Genomics
#520
of 564 outputs
Outputs of similar age
#395,607
of 457,901 outputs
Outputs of similar age from Human Genomics
#11
of 12 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 1st percentile – i.e., 1% 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 457,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.