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X Demographics
Mendeley readers
Attention Score in Context
Title |
scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data
|
---|---|
Published in |
BMC Bioinformatics, February 2020
|
DOI | 10.1186/s12859-020-3381-5 |
Pubmed ID | |
Authors |
Zhiqiang Yan, Xiaohui Zhu, Yuqian Wang, Yanli Nie, Shuo Guan, Ying Kuo, Di Chang, Rong Li, Jie Qiao, Liying Yan |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 10% |
United States | 1 | 10% |
India | 1 | 10% |
Italy | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 25% |
Student > Bachelor | 2 | 10% |
Professor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 30% |
Agricultural and Biological Sciences | 3 | 15% |
Nursing and Health Professions | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Unknown | 9 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 February 2020.
All research outputs
#2,762,397
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#876
of 7,418 outputs
Outputs of similar age
#66,663
of 453,584 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 172 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% 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 453,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.