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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of large-scale genomic differences in the first complete human genome
|
|---|---|
| Published in |
Genome Biology, July 2023
|
| DOI | 10.1186/s13059-023-02995-w |
| Pubmed ID | |
| Authors |
Xiangyu Yang, Xuankai Wang, Yawen Zou, Shilong Zhang, Manying Xia, Lianting Fu, Mitchell R. Vollger, Nae-Chyun Chen, Dylan J. Taylor, William T. Harvey, Glennis A. Logsdon, Dan Meng, Junfeng Shi, Rajiv C. McCoy, Michael C. Schatz, Weidong Li, Evan E. Eichler, Qing Lu, Yafei Mao |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| United Kingdom | 2 | 10% |
| India | 1 | 5% |
| Netherlands | 1 | 5% |
| Turkey | 1 | 5% |
| Spain | 1 | 5% |
| Malaysia | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 9 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 9 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Agricultural and Biological Sciences | 6 | 25% |
| Computer Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 August 2023.
All research outputs
#1,171,037
of 25,394,764 outputs
Outputs from Genome Biology
#875
of 4,470 outputs
Outputs of similar age
#22,239
of 367,785 outputs
Outputs of similar age from Genome Biology
#15
of 65 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th 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 well, scoring higher than 80% 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 367,785 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 93% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.