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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-network: optimized species-species network analysis for microbial communities
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5471-1 |
| Pubmed ID | |
| Authors |
Pengshuo Yang, Shaojun Yu, Lin Cheng, Kang Ning |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Researcher | 24 | 22% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 12 | 11% |
| Student > Postgraduate | 10 | 9% |
| Other | 12 | 11% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 25% |
| Biochemistry, Genetics and Molecular Biology | 21 | 19% |
| Environmental Science | 12 | 11% |
| Immunology and Microbiology | 6 | 5% |
| Mathematics | 4 | 4% |
| Other | 16 | 14% |
| Unknown | 24 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 August 2019.
All research outputs
#4,231,099
of 23,498,099 outputs
Outputs from BMC Genomics
#1,725
of 10,787 outputs
Outputs of similar age
#87,603
of 352,821 outputs
Outputs of similar age from BMC Genomics
#42
of 207 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 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 352,821 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 75% of its contemporaries.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.