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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3498-6 |
| Pubmed ID | |
| Authors |
Thomas Hütter, Maximilian H Ganser, Manuel Kocher, Merima Halkic, Sabine Agatha, Nikolaus Augsten |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| France | 1 | 6% |
| Spain | 1 | 6% |
| Czechia | 1 | 6% |
| Japan | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 10 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 8 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Other | 2 | 11% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 32% |
| Environmental Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Unknown | 9 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 June 2020.
All research outputs
#4,696,379
of 25,728,855 outputs
Outputs from BMC Bioinformatics
#1,626
of 7,738 outputs
Outputs of similar age
#103,693
of 403,804 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 122 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 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 well, scoring higher than 78% 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 403,804 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 74% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.