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X Demographics
Mendeley readers
Attention Score in Context
| Title |
METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs
|
|---|---|
| Published in |
BMC Bioinformatics, July 2021
|
| DOI | 10.1186/s12859-021-04284-4 |
| Pubmed ID | |
| Authors |
Zhenmiao Zhang, Lu Zhang |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| United Kingdom | 3 | 23% |
| Japan | 1 | 8% |
| Netherlands | 1 | 8% |
| India | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 5 | 15% |
| Student > Master | 4 | 12% |
| Professor | 3 | 9% |
| Unspecified | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Immunology and Microbiology | 3 | 9% |
| Unspecified | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 08 August 2021.
All research outputs
#2,746,093
of 23,796,227 outputs
Outputs from BMC Bioinformatics
#848
of 7,440 outputs
Outputs of similar age
#64,050
of 439,840 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 107 outputs
Altmetric has tracked 23,796,227 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 88% 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 439,840 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 85% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.