| Title |
Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03667-3 |
| Pubmed ID | |
| Authors |
Yi Yue, Hao Huang, Zhao Qi, Hui-Min Dou, Xin-Yi Liu, Tian-Fei Han, Yue Chen, Xiang-Jun Song, You-Hua Zhang, Jian Tu |
X Demographics
The data shown below were collected from the profiles of 30 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 | 5 | 17% |
| United Kingdom | 3 | 10% |
| Saudi Arabia | 2 | 7% |
| France | 2 | 7% |
| Mexico | 1 | 3% |
| Russia | 1 | 3% |
| Chile | 1 | 3% |
| Spain | 1 | 3% |
| Australia | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 9 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 63% |
| Members of the public | 11 | 37% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 231 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 18% |
| Researcher | 40 | 17% |
| Student > Bachelor | 31 | 13% |
| Student > Master | 22 | 10% |
| Student > Doctoral Student | 8 | 3% |
| Other | 22 | 10% |
| Unknown | 66 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 59 | 26% |
| Agricultural and Biological Sciences | 40 | 17% |
| Immunology and Microbiology | 14 | 6% |
| Computer Science | 9 | 4% |
| Environmental Science | 8 | 3% |
| Other | 24 | 10% |
| Unknown | 77 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 29 November 2021.
All research outputs
#1,534,204
of 24,151,461 outputs
Outputs from BMC Bioinformatics
#263
of 7,507 outputs
Outputs of similar age
#42,416
of 402,492 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 113 outputs
Altmetric has tracked 24,151,461 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,507 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 96% 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 402,492 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 89% of its contemporaries.
We're also able to compare this research output to 113 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 96% of its contemporaries.