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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-Apo improves accuracy of 16S-amplicon-based prediction of microbiome function
|
|---|---|
| Published in |
BMC Genomics, January 2021
|
| DOI | 10.1186/s12864-020-07307-1 |
| Pubmed ID | |
| Authors |
Gongchao Jing, Yufeng Zhang, Wenzhi Cui, Lu Liu, Jian Xu, Xiaoquan Su |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 25% |
| United Kingdom | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 38% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 27% |
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 1 | 3% |
| Professor > Associate Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Agricultural and Biological Sciences | 4 | 13% |
| Computer Science | 3 | 10% |
| Medicine and Dentistry | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 17 February 2021.
All research outputs
#579,037
of 23,881,329 outputs
Outputs from BMC Genomics
#60
of 10,793 outputs
Outputs of similar age
#16,921
of 507,388 outputs
Outputs of similar age from BMC Genomics
#1
of 165 outputs
Altmetric has tracked 23,881,329 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 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. 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 507,388 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 165 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 99% of its contemporaries.