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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overcoming uncollapsed haplotypes in long-read assemblies of non-model organisms
|
|---|---|
| Published in |
BMC Bioinformatics, June 2021
|
| DOI | 10.1186/s12859-021-04118-3 |
| Pubmed ID | |
| Authors |
Nadège Guiglielmoni, Antoine Houtain, Alessandro Derzelle, Karine Van Doninck, Jean-François Flot |
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 % |
|---|---|---|
| Japan | 4 | 14% |
| United Kingdom | 3 | 10% |
| France | 3 | 10% |
| Germany | 2 | 7% |
| United States | 1 | 3% |
| Austria | 1 | 3% |
| Iceland | 1 | 3% |
| Switzerland | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 55% |
| Members of the public | 13 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 3 | 4% |
| Other | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 21 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 31% |
| Biochemistry, Genetics and Molecular Biology | 24 | 29% |
| Environmental Science | 3 | 4% |
| Social Sciences | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 22 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 02 June 2023.
All research outputs
#1,560,914
of 25,368,786 outputs
Outputs from BMC Bioinformatics
#234
of 7,692 outputs
Outputs of similar age
#39,878
of 458,284 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 169 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 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 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 458,284 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 91% of its contemporaries.
We're also able to compare this research output to 169 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 97% of its contemporaries.