You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms
|
|---|---|
| Published in |
Frontiers in Genetics, January 2020
|
| DOI | 10.3389/fgene.2019.01336 |
| Pubmed ID | |
| Authors |
Sheng Zhao, Huijie Jiang, Zong-Hui Liang, Hong Ju |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Researcher | 3 | 12% |
| Lecturer | 2 | 8% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Agricultural and Biological Sciences | 4 | 15% |
| Medicine and Dentistry | 3 | 12% |
| Computer Science | 2 | 8% |
| Mathematics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 35% |
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 11 February 2020.
All research outputs
#15,597,131
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#5,533
of 12,221 outputs
Outputs of similar age
#270,741
of 452,014 outputs
Outputs of similar age from Frontiers in Genetics
#149
of 351 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,221 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 49th percentile – i.e., 49% 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 452,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 351 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 51% of its contemporaries.