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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
A graph-based algorithm for estimating clonal haplotypes of tumor sample from sequencing data
|
|---|---|
| Published in |
BMC Medical Genomics, January 2019
|
| DOI | 10.1186/s12920-018-0457-4 |
| Pubmed ID | |
| Authors |
Yixuan Wang, Xuanping Zhang, Shuai Ding, Yu Geng, Jianye Liu, Zhongmeng Zhao, Rong Zhang, Xiao, Jiayin Wang |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 24% |
| Researcher | 4 | 24% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Computer Science | 3 | 18% |
| Medicine and Dentistry | 2 | 12% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
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 03 February 2019.
All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from BMC Medical Genomics
#891
of 1,264 outputs
Outputs of similar age
#327,219
of 440,522 outputs
Outputs of similar age from BMC Medical Genomics
#35
of 44 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 17th percentile – i.e., 17% 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 440,522 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.