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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of intermediate-sized deletions and inference of their impact on gene expression in a human population
|
|---|---|
| Published in |
Genome Medicine, July 2019
|
| DOI | 10.1186/s13073-019-0656-4 |
| Pubmed ID | |
| Authors |
Jing Hao Wong, Daichi Shigemizu, Yukiko Yoshii, Shintaro Akiyama, Azusa Tanaka, Hidewaki Nakagawa, Shu Narumiya, Akihiro Fujimoto |
X Demographics
The data shown below were collected from the profiles of 11 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 | 18% |
| United Kingdom | 2 | 18% |
| South Africa | 1 | 9% |
| Nigeria | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 7 | 22% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 2 | 6% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 28% |
| Medicine and Dentistry | 4 | 13% |
| Agricultural and Biological Sciences | 2 | 6% |
| Social Sciences | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 December 2019.
All research outputs
#2,024,126
of 23,153,184 outputs
Outputs from Genome Medicine
#455
of 1,451 outputs
Outputs of similar age
#44,673
of 346,463 outputs
Outputs of similar age from Genome Medicine
#8
of 20 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 68% 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 346,463 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 87% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.