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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Disbiome database: linking the microbiome to disease
|
|---|---|
| Published in |
BMC Microbiology, June 2018
|
| DOI | 10.1186/s12866-018-1197-5 |
| Pubmed ID | |
| Authors |
Yorick Janssens, Joachim Nielandt, Antoon Bronselaer, Nathan Debunne, Frederick Verbeke, Evelien Wynendaele, Filip Van Immerseel, Yves-Paul Vandewynckel, Guy De Tré, Bart De Spiegeleer |
| Abstract |
Recent research has provided fascinating indications and evidence that the host health is linked to its microbial inhabitants. Due to the development of high-throughput sequencing technologies, more and more data covering microbial composition changes in different disease types are emerging. However, this information is dispersed over a wide variety of medical and biomedical disciplines. Disbiome is a database which collects and presents published microbiota-disease information in a standardized way. The diseases are classified using the MedDRA classification system and the micro-organisms are linked to their NCBI and SILVA taxonomy. Finally, each study included in the Disbiome database is assessed for its reporting quality using a standardized questionnaire. Disbiome is the first database giving a clear, concise and up-to-date overview of microbial composition differences in diseases, together with the relevant information of the studies published. The strength of this database lies within the combination of the presence of references to other databases, which enables both specific and diverse search strategies within the Disbiome database, and the human annotation which ensures a simple and structured presentation of the available data. |
X Demographics
The data shown below were collected from the profiles of 126 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 | 16 | 13% |
| United Kingdom | 13 | 10% |
| Spain | 11 | 9% |
| Australia | 5 | 4% |
| Italy | 3 | 2% |
| India | 3 | 2% |
| Canada | 3 | 2% |
| Germany | 2 | 2% |
| Mexico | 2 | 2% |
| Other | 18 | 14% |
| Unknown | 50 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 60% |
| Scientists | 30 | 24% |
| Practitioners (doctors, other healthcare professionals) | 19 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 265 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 18% |
| Student > Ph. D. Student | 35 | 13% |
| Student > Master | 30 | 11% |
| Student > Bachelor | 22 | 8% |
| Student > Doctoral Student | 14 | 5% |
| Other | 29 | 11% |
| Unknown | 87 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 46 | 17% |
| Agricultural and Biological Sciences | 41 | 15% |
| Computer Science | 17 | 6% |
| Medicine and Dentistry | 14 | 5% |
| Immunology and Microbiology | 14 | 5% |
| Other | 40 | 15% |
| Unknown | 93 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 December 2019.
All research outputs
#521,732
of 25,893,933 outputs
Outputs from BMC Microbiology
#13
of 3,533 outputs
Outputs of similar age
#11,220
of 344,299 outputs
Outputs of similar age from BMC Microbiology
#2
of 36 outputs
Altmetric has tracked 25,893,933 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 3,533 research outputs from this source. They receive a mean Attention Score of 4.4. 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 344,299 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 36 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 94% of its contemporaries.