| Title |
Similarities and differences between variants called with human reference genome HG19 or HG38
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2620-0 |
| Pubmed ID | |
| Authors |
Bohu Pan, Rebecca Kusko, Wenming Xiao, Yuanting Zheng, Zhichao Liu, Chunlin Xiao, Sugunadevi Sakkiah, Wenjing Guo, Ping Gong, Chaoyang Zhang, Weigong Ge, Leming Shi, Weida Tong, Huixiao Hong |
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% |
| Italy | 1 | 17% |
| Finland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 19% |
| Student > Ph. D. Student | 24 | 17% |
| Student > Bachelor | 17 | 12% |
| Student > Master | 12 | 8% |
| Student > Doctoral Student | 5 | 3% |
| Other | 14 | 10% |
| Unknown | 44 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 48 | 34% |
| Agricultural and Biological Sciences | 13 | 9% |
| Medicine and Dentistry | 10 | 7% |
| Computer Science | 7 | 5% |
| Immunology and Microbiology | 6 | 4% |
| Other | 11 | 8% |
| Unknown | 48 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 09 July 2021.
All research outputs
#2,533,001
of 24,835,862 outputs
Outputs from BMC Bioinformatics
#688
of 7,595 outputs
Outputs of similar age
#55,475
of 357,617 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 168 outputs
Altmetric has tracked 24,835,862 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,595 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 done particularly well, scoring higher than 90% 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 357,617 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 84% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.