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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets
|
|---|---|
| Published in |
BMC Bioinformatics, December 2022
|
| DOI | 10.1186/s12859-022-05103-0 |
| Pubmed ID | |
| Authors |
Daniel M. Portik, C. Titus Brown, N. Tessa Pierce-Ward |
X Demographics
The data shown below were collected from the profiles of 115 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 | 16 | 14% |
| United Kingdom | 11 | 10% |
| Germany | 6 | 5% |
| Spain | 6 | 5% |
| Australia | 5 | 4% |
| India | 5 | 4% |
| Netherlands | 5 | 4% |
| Switzerland | 3 | 3% |
| France | 3 | 3% |
| Other | 19 | 17% |
| Unknown | 36 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 66 | 57% |
| Members of the public | 47 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 21% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 31 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 24% |
| Agricultural and Biological Sciences | 13 | 13% |
| Computer Science | 6 | 6% |
| Immunology and Microbiology | 6 | 6% |
| Environmental Science | 5 | 5% |
| Other | 7 | 7% |
| Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 10 February 2024.
All research outputs
#684,216
of 25,468,708 outputs
Outputs from BMC Bioinformatics
#37
of 7,705 outputs
Outputs of similar age
#15,683
of 481,292 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 150 outputs
Altmetric has tracked 25,468,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,705 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 99% 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 481,292 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 96% of its contemporaries.
We're also able to compare this research output to 150 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 98% of its contemporaries.