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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical detection of human probiotics and human pathogenic bacteria by using a novel high-throughput platform based on next generation sequencing
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, January 2014
|
| DOI | 10.1186/2043-9113-4-1 |
| Pubmed ID | |
| Authors |
Chih-Min Chiu, Feng-Mao Lin, Tzu-Hao Chang, Wei-Chih Huang, Chao Liang, Ting Yang, Wei-Yun Wu, Tzu-Ling Yang, Shun-Long Weng, Hsien-Da Huang |
| Abstract |
The human body plays host to a vast array of bacteria, found in oral cavities, skin, gastrointestinal tract and the vagina. Some bacteria are harmful while others are beneficial to the host. Despite the availability of many methods to identify bacteria, most of them are only applicable to specific and cultivable bacteria and are also tedious. Based on high throughput sequencing technology, this work derives 16S rRNA sequences of bacteria and analyzes probiotics and pathogens species. |
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 % |
|---|---|---|
| Israel | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Bachelor | 13 | 17% |
| Student > Master | 12 | 16% |
| Researcher | 10 | 13% |
| Other | 6 | 8% |
| Other | 14 | 18% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 38% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Medicine and Dentistry | 9 | 12% |
| Immunology and Microbiology | 5 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 August 2021.
All research outputs
#7,959,162
of 25,371,288 outputs
Outputs from Journal of Clinical Bioinformatics
#16
of 61 outputs
Outputs of similar age
#87,860
of 320,215 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#1
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 72% 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 320,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them