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X Demographics
Mendeley readers
Attention Score in Context
| Title |
X-CNV: genome-wide prediction of the pathogenicity of copy number variations
|
|---|---|
| Published in |
Genome Medicine, August 2021
|
| DOI | 10.1186/s13073-021-00945-4 |
| Pubmed ID | |
| Authors |
Li Zhang, Jingru Shi, Jian Ouyang, Riquan Zhang, Yiran Tao, Dongsheng Yuan, Chengkai Lv, Ruiyuan Wang, Baitang Ning, Ruth Roberts, Weida Tong, Zhichao Liu, Tieliu Shi |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 5 | 31% |
| United States | 1 | 6% |
| South Africa | 1 | 6% |
| Spain | 1 | 6% |
| India | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 33% |
| Agricultural and Biological Sciences | 4 | 7% |
| Engineering | 3 | 6% |
| Unspecified | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 21 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 74. 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 29 October 2021.
All research outputs
#503,238
of 23,310,485 outputs
Outputs from Genome Medicine
#95
of 1,456 outputs
Outputs of similar age
#13,056
of 432,543 outputs
Outputs of similar age from Genome Medicine
#2
of 42 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done particularly well, scoring higher than 93% 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 432,543 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 96% of its contemporaries.
We're also able to compare this research output to 42 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 95% of its contemporaries.