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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome sequence-based species delimitation with confidence intervals and improved distance functions
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-60 |
| Pubmed ID | |
| Authors |
Jan P Meier-Kolthoff, Alexander F Auch, Hans-Peter Klenk, Markus Göker |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Australia | 1 | 17% |
| Germany | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| Denmark | 4 | <1% |
| Germany | 3 | <1% |
| France | 2 | <1% |
| South Africa | 2 | <1% |
| Australia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 1277 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 278 | 21% |
| Researcher | 193 | 15% |
| Student > Master | 165 | 13% |
| Student > Bachelor | 110 | 8% |
| Student > Doctoral Student | 89 | 7% |
| Other | 163 | 13% |
| Unknown | 306 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 358 | 27% |
| Biochemistry, Genetics and Molecular Biology | 297 | 23% |
| Immunology and Microbiology | 113 | 9% |
| Environmental Science | 43 | 3% |
| Computer Science | 24 | 2% |
| Other | 109 | 8% |
| Unknown | 360 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 27 November 2023.
All research outputs
#1,170,020
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#108
of 7,763 outputs
Outputs of similar age
#8,328
of 208,125 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 138 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 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 particularly well, scoring higher than 98% 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 208,125 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 95% of its contemporaries.
We're also able to compare this research output to 138 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.