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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes
|
|---|---|
| Published in |
Nature Methods, June 2023
|
| DOI | 10.1038/s41592-023-01914-y |
| Pubmed ID | |
| Authors |
Chen-Shan Chin, Sairam Behera, Asif Khalak, Fritz J. Sedlazeck, Peter H. Sudmant, Justin Wagner, Justin M. Zook |
X Demographics
The data shown below were collected from the profiles of 139 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 | 42 | 30% |
| United Kingdom | 5 | 4% |
| Germany | 5 | 4% |
| Australia | 4 | 3% |
| China | 4 | 3% |
| Spain | 4 | 3% |
| Switzerland | 3 | 2% |
| South Africa | 2 | 1% |
| India | 2 | 1% |
| Other | 19 | 14% |
| Unknown | 49 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 73 | 53% |
| Members of the public | 61 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Other | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 28% |
| Agricultural and Biological Sciences | 7 | 16% |
| Unspecified | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 18 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 384. 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 28 February 2024.
All research outputs
#81,804
of 25,756,911 outputs
Outputs from Nature Methods
#38
of 5,410 outputs
Outputs of similar age
#1,877
of 378,967 outputs
Outputs of similar age from Nature Methods
#1
of 88 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has done particularly well, scoring higher than 99% 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 378,967 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 99% of its contemporaries.
We're also able to compare this research output to 88 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 98% of its contemporaries.