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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BugSeq: a highly accurate cloud platform for long-read metagenomic analyses
|
|---|---|
| Published in |
BMC Bioinformatics, March 2021
|
| DOI | 10.1186/s12859-021-04089-5 |
| Pubmed ID | |
| Authors |
Jeremy Fan, Steven Huang, Samuel D. Chorlton |
X Demographics
The data shown below were collected from the profiles of 29 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 | 3 | 10% |
| Australia | 3 | 10% |
| Canada | 2 | 7% |
| United Kingdom | 2 | 7% |
| Saudi Arabia | 1 | 3% |
| Netherlands | 1 | 3% |
| Czechia | 1 | 3% |
| Ireland | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 62% |
| Members of the public | 11 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 16% |
| Student > Master | 13 | 13% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 11 | 11% |
| Unspecified | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 19% |
| Agricultural and Biological Sciences | 16 | 15% |
| Immunology and Microbiology | 7 | 7% |
| Unspecified | 6 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 37 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 22 March 2024.
All research outputs
#1,338,370
of 25,758,695 outputs
Outputs from BMC Bioinformatics
#141
of 7,742 outputs
Outputs of similar age
#36,434
of 456,800 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 164 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,742 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 98% 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 456,800 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 92% of its contemporaries.
We're also able to compare this research output to 164 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 96% of its contemporaries.