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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0025792 |
| Pubmed ID | |
| Authors |
Christopher T. Brown, Austin G. Davis-Richardson, Adriana Giongo, Kelsey A. Gano, David B. Crabb, Nabanita Mukherjee, George Casella, Jennifer C. Drew, Jorma Ilonen, Mikael Knip, Heikki Hyöty, Riitta Veijola, Tuula Simell, Olli Simell, Josef Neu, Clive H. Wasserfall, Desmond Schatz, Mark A. Atkinson, Eric W. Triplett |
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 % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 771 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| United Kingdom | 6 | <1% |
| Brazil | 3 | <1% |
| Netherlands | 2 | <1% |
| Sweden | 2 | <1% |
| Belgium | 2 | <1% |
| Denmark | 2 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 736 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 149 | 19% |
| Researcher | 130 | 17% |
| Student > Bachelor | 111 | 14% |
| Student > Master | 100 | 13% |
| Student > Doctoral Student | 36 | 5% |
| Other | 110 | 14% |
| Unknown | 135 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 239 | 31% |
| Biochemistry, Genetics and Molecular Biology | 115 | 15% |
| Medicine and Dentistry | 106 | 14% |
| Immunology and Microbiology | 49 | 6% |
| Computer Science | 16 | 2% |
| Other | 82 | 11% |
| Unknown | 164 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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 July 2017.
All research outputs
#614,302
of 25,837,817 outputs
Outputs from PLOS ONE
#8,293
of 225,486 outputs
Outputs of similar age
#2,279
of 155,080 outputs
Outputs of similar age from PLOS ONE
#79
of 2,586 outputs
Altmetric has tracked 25,837,817 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 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 95% 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 155,080 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 97% of its contemporaries.
We're also able to compare this research output to 2,586 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 96% of its contemporaries.