| Title |
Extensive Strain-Level Copy-Number Variation across Human Gut Microbiome Species
|
|---|---|
| Published in |
Cell, January 2015
|
| DOI | 10.1016/j.cell.2014.12.038 |
| Pubmed ID | |
| Authors |
Sharon Greenblum, Rogan Carr, Elhanan Borenstein |
X Demographics
The data shown below were collected from the profiles of 96 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 | 31 | 32% |
| Spain | 4 | 4% |
| France | 4 | 4% |
| United Kingdom | 4 | 4% |
| Japan | 3 | 3% |
| Australia | 3 | 3% |
| Canada | 1 | 1% |
| Mexico | 1 | 1% |
| Ireland | 1 | 1% |
| Other | 7 | 7% |
| Unknown | 37 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 55% |
| Scientists | 33 | 34% |
| Practitioners (doctors, other healthcare professionals) | 6 | 6% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 590 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 3% |
| Canada | 5 | <1% |
| Germany | 4 | <1% |
| Denmark | 4 | <1% |
| United Kingdom | 3 | <1% |
| Belgium | 2 | <1% |
| India | 1 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Other | 8 | 1% |
| Unknown | 543 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 159 | 27% |
| Researcher | 136 | 23% |
| Student > Master | 62 | 11% |
| Student > Bachelor | 38 | 6% |
| Student > Postgraduate | 32 | 5% |
| Other | 93 | 16% |
| Unknown | 70 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 227 | 38% |
| Biochemistry, Genetics and Molecular Biology | 114 | 19% |
| Immunology and Microbiology | 50 | 8% |
| Medicine and Dentistry | 32 | 5% |
| Computer Science | 19 | 3% |
| Other | 56 | 9% |
| Unknown | 92 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 108. 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 May 2018.
All research outputs
#396,369
of 25,736,439 outputs
Outputs from Cell
#2,104
of 17,267 outputs
Outputs of similar age
#4,790
of 363,549 outputs
Outputs of similar age from Cell
#34
of 144 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has done well, scoring higher than 87% 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 363,549 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 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.