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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Illumina error correction near highly repetitive DNA regions improves de novo genome assembly
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2906-2 |
| Pubmed ID | |
| Authors |
Mahdi Heydari, Giles Miclotte, Yves Van de Peer, Jan Fostier |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| United Kingdom | 4 | 19% |
| Australia | 1 | 5% |
| China | 1 | 5% |
| Netherlands | 1 | 5% |
| Canada | 1 | 5% |
| Taiwan | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 67% |
| Members of the public | 7 | 33% |
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 | 18 | 24% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 35% |
| Agricultural and Biological Sciences | 15 | 20% |
| Computer Science | 6 | 8% |
| Environmental Science | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 18 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 November 2022.
All research outputs
#3,540,626
of 25,083,571 outputs
Outputs from BMC Bioinformatics
#1,172
of 7,645 outputs
Outputs of similar age
#69,947
of 357,510 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 191 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,645 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 well, scoring higher than 84% 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 357,510 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 80% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.