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X Demographics
Mendeley readers
Attention Score in Context
| Title |
My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype
|
|---|---|
| Published in |
Genome Biology, January 2021
|
| DOI | 10.1186/s13059-021-02269-3 |
| Pubmed ID | |
| Authors |
Yadi Zhou, Junfei Zhao, Jiansong Fang, William Martin, Lang Li, Ruth Nussinov, Timothy A. Chan, Charis Eng, Feixiong Cheng |
X Demographics
The data shown below were collected from the profiles of 31 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 | 12 | 39% |
| United Kingdom | 4 | 13% |
| Malaysia | 1 | 3% |
| Austria | 1 | 3% |
| Sweden | 1 | 3% |
| China | 1 | 3% |
| Turkey | 1 | 3% |
| Thailand | 1 | 3% |
| India | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 55% |
| Members of the public | 9 | 29% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Professor > Associate Professor | 5 | 11% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 27% |
| Agricultural and Biological Sciences | 6 | 13% |
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Social Sciences | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 13 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 147. 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 23 March 2021.
All research outputs
#281,248
of 25,387,668 outputs
Outputs from Genome Biology
#112
of 4,470 outputs
Outputs of similar age
#8,422
of 526,150 outputs
Outputs of similar age from Genome Biology
#3
of 87 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 97% 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 526,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 87 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 96% of its contemporaries.