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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Testing the advantages and disadvantages of short- and long- read eukaryotic metagenomics using simulated reads
|
|---|---|
| Published in |
BMC Bioinformatics, May 2020
|
| DOI | 10.1186/s12859-020-3528-4 |
| Pubmed ID | |
| Authors |
William S. Pearman, Nikki E. Freed, Olin K. Silander |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 2 | 11% |
| United Kingdom | 2 | 11% |
| Hong Kong | 1 | 6% |
| Sweden | 1 | 6% |
| Japan | 1 | 6% |
| India | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 6 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 186 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 23% |
| Student > Master | 26 | 14% |
| Researcher | 21 | 11% |
| Student > Bachelor | 19 | 10% |
| Student > Postgraduate | 7 | 4% |
| Other | 19 | 10% |
| Unknown | 52 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 23% |
| Agricultural and Biological Sciences | 42 | 23% |
| Environmental Science | 10 | 5% |
| Immunology and Microbiology | 7 | 4% |
| Computer Science | 7 | 4% |
| Other | 20 | 11% |
| Unknown | 57 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 November 2021.
All research outputs
#2,974,248
of 23,498,099 outputs
Outputs from BMC Bioinformatics
#1,010
of 7,400 outputs
Outputs of similar age
#78,123
of 397,985 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 129 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 397,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.