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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High quality genome assemblies of Mycoplasma bovis using a taxon-specific Bonito basecaller for MinION and Flongle long-read nanopore sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03856-0 |
| Pubmed ID | |
| Authors |
Nick Vereecke, Jade Bokma, Freddy Haesebrouck, Hans Nauwynck, Filip Boyen, Bart Pardon, Sebastiaan Theuns |
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 Kingdom | 8 | 28% |
| France | 3 | 10% |
| Belgium | 2 | 7% |
| Netherlands | 2 | 7% |
| Germany | 2 | 7% |
| Taiwan | 1 | 3% |
| Sweden | 1 | 3% |
| New Zealand | 1 | 3% |
| India | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 55% |
| Scientists | 13 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 22% |
| Student > Master | 11 | 15% |
| Student > Ph. D. Student | 9 | 12% |
| Unspecified | 7 | 9% |
| Other | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 18 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 22% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Unspecified | 7 | 9% |
| Veterinary Science and Veterinary Medicine | 6 | 8% |
| Computer Science | 5 | 7% |
| Other | 6 | 8% |
| Unknown | 22 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 01 December 2021.
All research outputs
#2,356,296
of 24,024,220 outputs
Outputs from BMC Bioinformatics
#623
of 7,493 outputs
Outputs of similar age
#59,921
of 418,961 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 162 outputs
Altmetric has tracked 24,024,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,493 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 418,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 162 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.