You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A tool kit for quantifying eukaryotic rRNA gene sequences from human microbiome samples
|
|---|---|
| Published in |
Genome Biology, July 2012
|
| DOI | 10.1186/gb-2012-13-7-r60 |
| Pubmed ID | |
| Authors |
Serena Dollive, Gregory L Peterfreund, Scott Sherrill-Mix, Kyle Bittinger, Rohini Sinha, Christian Hoffmann, Christopher S Nabel, David A Hill, David Artis, Michael A Bachman, Rebecca Custers-Allen, Stephanie Grunberg, Gary D Wu, James D Lewis, Frederic D Bushman |
| Abstract |
ABSTRACT: Eukaryotic microorganisms are important but understudied components of the human microbiome. Here we present a pipeline for analysis of deep sequencing data on single cell eukaryotes. We designed a new 18S rRNA gene-specific PCR primer set and compared a published rRNA gene internal transcribed spacer (ITS) gene primer set. Amplicons were tested against 24 specimens from defined eukaryotes and eight well-characterized human stool samples. A software pipeline https://sourceforge.net/projects/brocc/ was developed for taxonomic attribution, validated against simulated data, and tested on pyrosequence data. This study provides a well-characterized tool kit for sequence-based enumeration of eukaryotic organisms in human microbiome samples. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 17% |
| United Kingdom | 2 | 11% |
| Canada | 2 | 11% |
| Indonesia | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 7 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Colombia | 1 | <1% |
| Singapore | 1 | <1% |
| India | 1 | <1% |
| Russia | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 223 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 27% |
| Student > Ph. D. Student | 42 | 18% |
| Student > Master | 25 | 11% |
| Student > Bachelor | 21 | 9% |
| Professor > Associate Professor | 14 | 6% |
| Other | 41 | 17% |
| Unknown | 31 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 92 | 39% |
| Biochemistry, Genetics and Molecular Biology | 35 | 15% |
| Medicine and Dentistry | 29 | 12% |
| Immunology and Microbiology | 16 | 7% |
| Environmental Science | 11 | 5% |
| Other | 19 | 8% |
| Unknown | 35 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 28 August 2023.
All research outputs
#2,277,438
of 25,374,647 outputs
Outputs from Genome Biology
#1,876
of 4,467 outputs
Outputs of similar age
#13,926
of 177,745 outputs
Outputs of similar age from Genome Biology
#12
of 45 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 57% 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 177,745 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 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.