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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing de novo transcriptome assembly tools in di- and autotetraploid non-model plant species
|
|---|---|
| Published in |
BMC Bioinformatics, March 2021
|
| DOI | 10.1186/s12859-021-04078-8 |
| Pubmed ID | |
| Authors |
Silvia Madritsch, Agnes Burg, Eva M. Sehr |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Germany | 1 | 13% |
| Netherlands | 1 | 13% |
| Austria | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Student > Master | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 3 | 10% |
| Other | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 27% |
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 March 2021.
All research outputs
#5,982,881
of 23,796,227 outputs
Outputs from BMC Bioinformatics
#2,162
of 7,440 outputs
Outputs of similar age
#129,194
of 429,938 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 169 outputs
Altmetric has tracked 23,796,227 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,440 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 gotten more attention than average, scoring higher than 70% 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 429,938 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 gotten more attention than average, scoring higher than 68% of its contemporaries.