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X Demographics
Mendeley readers
Attention Score in Context
Title |
Dissecting the human microbiome with single-cell genomics
|
---|---|
Published in |
Genome Medicine, June 2017
|
DOI | 10.1186/s13073-017-0448-7 |
Pubmed ID | |
Authors |
Andrew C. Tolonen, Ramnik J. Xavier |
Abstract |
Recent advances in genome sequencing of single microbial cells enable the assignment of functional roles to members of the human microbiome that cannot currently be cultured. This approach can reveal the genomic basis of phenotypic variation between closely related strains and can be applied to the targeted study of immunogenic bacteria in disease. |
X Demographics
The data shown below were collected from the profiles of 40 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 | 8 | 20% |
United Kingdom | 6 | 15% |
Italy | 3 | 8% |
Ireland | 2 | 5% |
Japan | 1 | 3% |
France | 1 | 3% |
Brunei Darussalam | 1 | 3% |
Finland | 1 | 3% |
India | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 60% |
Scientists | 14 | 35% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Unknown | 117 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 21% |
Researcher | 23 | 19% |
Student > Bachelor | 9 | 8% |
Student > Doctoral Student | 8 | 7% |
Student > Master | 8 | 7% |
Other | 17 | 14% |
Unknown | 28 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 28 | 24% |
Agricultural and Biological Sciences | 24 | 20% |
Immunology and Microbiology | 10 | 8% |
Medicine and Dentistry | 6 | 5% |
Computer Science | 4 | 3% |
Other | 15 | 13% |
Unknown | 31 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 25 July 2017.
All research outputs
#1,169,295
of 23,572,509 outputs
Outputs from Genome Medicine
#237
of 1,467 outputs
Outputs of similar age
#25,052
of 318,268 outputs
Outputs of similar age from Genome Medicine
#4
of 30 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 83% 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 318,268 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 92% of its contemporaries.
We're also able to compare this research output to 30 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 90% of its contemporaries.