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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal variability is a personalized feature of the human microbiome
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0531-y |
| Pubmed ID | |
| Authors |
Gilberto E Flores, J Gregory Caporaso, Jessica B Henley, Jai Ram Rideout, Daniel Domogala, John Chase, Jonathan W Leff, Yoshiki Vázquez-Baeza, Antonio Gonzalez, Rob Knight, Robert R Dunn, Noah Fierer |
X Demographics
The data shown below were collected from the profiles of 73 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 | 27 | 37% |
| United Kingdom | 4 | 5% |
| Spain | 3 | 4% |
| Canada | 3 | 4% |
| Sweden | 2 | 3% |
| India | 1 | 1% |
| Cameroon | 1 | 1% |
| Belgium | 1 | 1% |
| China | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 27 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 60% |
| Scientists | 25 | 34% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 562 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 2% |
| Canada | 3 | <1% |
| Belgium | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Finland | 1 | <1% |
| Netherlands | 1 | <1% |
| Singapore | 1 | <1% |
| Ireland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 534 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 134 | 24% |
| Student > Ph. D. Student | 124 | 22% |
| Student > Master | 71 | 13% |
| Student > Bachelor | 41 | 7% |
| Student > Doctoral Student | 32 | 6% |
| Other | 73 | 13% |
| Unknown | 87 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 177 | 31% |
| Biochemistry, Genetics and Molecular Biology | 85 | 15% |
| Medicine and Dentistry | 55 | 10% |
| Immunology and Microbiology | 42 | 7% |
| Computer Science | 20 | 4% |
| Other | 70 | 12% |
| Unknown | 113 | 20% |
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 29 September 2022.
All research outputs
#515,403
of 25,711,518 outputs
Outputs from Genome Biology
#288
of 4,505 outputs
Outputs of similar age
#5,988
of 370,212 outputs
Outputs of similar age from Genome Biology
#4
of 100 outputs
Altmetric has tracked 25,711,518 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 4,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 93% 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 370,212 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 98% of its contemporaries.
We're also able to compare this research output to 100 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.