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Attention Score in Context
| Title |
MetaTopics: an integration tool to analyze microbial community profile by topic model
|
|---|---|
| Published in |
BMC Genomics, January 2017
|
| DOI | 10.1186/s12864-016-3257-2 |
| Pubmed ID | |
| Authors |
Jifang Yan, Guohui Chuai, Tao Qi, Fangyang Shao, Chi Zhou, Chenyu Zhu, Jing Yang, Yifei Yu, Cong Shi, Ning Kang, Yuan He, Qi Liu |
| Abstract |
Deciphering taxonomical structures based on high dimensional sequencing data is still challenging in metagenomics study. Moreover, the common workflow processed in this field fails to identify microbial communities and their effect on a specific disease status. Even the relationships and interactions between different bacteria in a microbial community keep unknown. MetaTopics can efficiently extract the latent microbial communities which reflect the intrinsic relations or interactions among several major microbes. Furthermore, a quantitative measurement, Quetelet Index, is defined to estimate the influence of a latent sub-community on a certain disease status for given samples. An analysis of our in-house oral metagenomics data and public gut microbe data was presented to demonstrate the application and usefulness of MetaTopics. To preset a user-friendly R package, we have built a dedicated website, https://github.com/bm2-lab/MetaTopics , which includes free downloads, detailed tutorials and illustration examples. MetaTopics is the first interactive R package to integrate the state-of-arts topic model derived from statistical learning community to analyze and visualize the metagenomics taxonomy data. |
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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United States | 1 | 2% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Student > Bachelor | 11 | 18% |
| Student > Master | 9 | 15% |
| Researcher | 8 | 13% |
| Student > Doctoral Student | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 29% |
| Computer Science | 12 | 19% |
| Agricultural and Biological Sciences | 10 | 16% |
| Medicine and Dentistry | 5 | 8% |
| Immunology and Microbiology | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 7 | 11% |
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 12 September 2017.
All research outputs
#4,104,299
of 22,953,506 outputs
Outputs from BMC Genomics
#1,698
of 10,686 outputs
Outputs of similar age
#83,414
of 419,042 outputs
Outputs of similar age from BMC Genomics
#43
of 210 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 419,042 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 79% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.