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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying and correcting repeat-calling errors in nanopore sequencing of telomeres
|
|---|---|
| Published in |
Genome Biology, August 2022
|
| DOI | 10.1186/s13059-022-02751-6 |
| Pubmed ID | |
| Authors |
Kar-Tong Tan, Michael K. Slevin, Matthew Meyerson, Heng Li |
X Demographics
The data shown below were collected from the profiles of 97 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 | 17 | 18% |
| United Kingdom | 8 | 8% |
| Germany | 4 | 4% |
| Netherlands | 4 | 4% |
| Sweden | 3 | 3% |
| Australia | 3 | 3% |
| India | 2 | 2% |
| Canada | 2 | 2% |
| Singapore | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 41 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 58 | 60% |
| Members of the public | 37 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 11 | 17% |
| Other | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 35% |
| Agricultural and Biological Sciences | 12 | 18% |
| Medicine and Dentistry | 2 | 3% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 23 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 September 2022.
All research outputs
#738,760
of 25,832,559 outputs
Outputs from Genome Biology
#470
of 4,521 outputs
Outputs of similar age
#17,476
of 431,847 outputs
Outputs of similar age from Genome Biology
#7
of 51 outputs
Altmetric has tracked 25,832,559 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 4,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done well, scoring higher than 89% 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 431,847 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 95% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.