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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Opportunities and challenges in long-read sequencing data analysis
|
|---|---|
| Published in |
Genome Biology, February 2020
|
| DOI | 10.1186/s13059-020-1935-5 |
| Pubmed ID | |
| Authors |
Shanika L. Amarasinghe, Shian Su, Xueyi Dong, Luke Zappia, Matthew E. Ritchie, Quentin Gouil |
X Demographics
The data shown below were collected from the profiles of 159 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 | 30 | 19% |
| Australia | 21 | 13% |
| United Kingdom | 12 | 8% |
| Germany | 8 | 5% |
| Spain | 7 | 4% |
| France | 7 | 4% |
| Sweden | 3 | 2% |
| Switzerland | 3 | 2% |
| Canada | 3 | 2% |
| Other | 24 | 15% |
| Unknown | 41 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 100 | 63% |
| Members of the public | 57 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,905 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1905 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 346 | 18% |
| Researcher | 251 | 13% |
| Student > Bachelor | 233 | 12% |
| Student > Master | 200 | 10% |
| Student > Doctoral Student | 83 | 4% |
| Other | 204 | 11% |
| Unknown | 588 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 567 | 30% |
| Agricultural and Biological Sciences | 297 | 16% |
| Immunology and Microbiology | 58 | 3% |
| Computer Science | 55 | 3% |
| Medicine and Dentistry | 46 | 2% |
| Other | 237 | 12% |
| Unknown | 645 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 127. 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 08 February 2024.
All research outputs
#334,794
of 25,837,817 outputs
Outputs from Genome Biology
#145
of 4,513 outputs
Outputs of similar age
#8,755
of 477,040 outputs
Outputs of similar age from Genome Biology
#6
of 74 outputs
Altmetric has tracked 25,837,817 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 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 96% 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 477,040 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 74 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 91% of its contemporaries.