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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Direct sequencing of the human microbiome readily reveals community differences
|
|---|---|
| Published in |
Genome Biology, May 2010
|
| DOI | 10.1186/gb-2010-11-5-210 |
| Pubmed ID | |
| Authors |
Justin Kuczynski, Elizabeth K Costello, Diana R Nemergut, Jesse Zaneveld, Christian L Lauber, Dan Knights, Omry Koren, Noah Fierer, Scott T Kelley, Ruth E Ley, Jeffrey I Gordon, Rob Knight |
| Abstract |
Culture-independent studies of human microbiota by direct genomic sequencing reveal quite distinct differences among communities, indicating that improved sequencing capacity can be most wisely utilized to study more samples, rather than more sequences per sample. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| Greece | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 464 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 34 | 7% |
| Canada | 6 | 1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Sweden | 2 | <1% |
| Argentina | 2 | <1% |
| Belgium | 2 | <1% |
| India | 2 | <1% |
| France | 2 | <1% |
| Other | 6 | 1% |
| Unknown | 402 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 126 | 27% |
| Student > Ph. D. Student | 105 | 23% |
| Professor > Associate Professor | 34 | 7% |
| Student > Bachelor | 34 | 7% |
| Student > Master | 29 | 6% |
| Other | 92 | 20% |
| Unknown | 44 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 243 | 52% |
| Biochemistry, Genetics and Molecular Biology | 47 | 10% |
| Medicine and Dentistry | 30 | 6% |
| Immunology and Microbiology | 17 | 4% |
| Computer Science | 15 | 3% |
| Other | 47 | 10% |
| Unknown | 65 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 August 2015.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Genome Biology
#3,853
of 4,467 outputs
Outputs of similar age
#81,781
of 104,195 outputs
Outputs of similar age from Genome Biology
#25
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 104,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.