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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions
|
|---|---|
| Published in |
Nucleic Acids Research, September 2010
|
| DOI | 10.1093/nar/gkq873 |
| Pubmed ID | |
| Authors |
Marcus J. Claesson, Qiong Wang, Orla O'Sullivan, Rachel Greene-Diniz, James R. Cole, R. Paul Ross, Paul W. O'Toole |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,299 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 37 | 3% |
| Brazil | 10 | <1% |
| Canada | 7 | <1% |
| Germany | 6 | <1% |
| Belgium | 6 | <1% |
| United Kingdom | 6 | <1% |
| Spain | 5 | <1% |
| Italy | 4 | <1% |
| France | 4 | <1% |
| Other | 38 | 3% |
| Unknown | 1176 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 321 | 25% |
| Student > Ph. D. Student | 316 | 24% |
| Student > Master | 172 | 13% |
| Student > Bachelor | 104 | 8% |
| Student > Doctoral Student | 70 | 5% |
| Other | 190 | 15% |
| Unknown | 126 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 664 | 51% |
| Biochemistry, Genetics and Molecular Biology | 142 | 11% |
| Environmental Science | 101 | 8% |
| Immunology and Microbiology | 63 | 5% |
| Medicine and Dentistry | 46 | 4% |
| Other | 111 | 9% |
| Unknown | 172 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 05 March 2024.
All research outputs
#1,707,277
of 26,017,215 outputs
Outputs from Nucleic Acids Research
#1,415
of 27,863 outputs
Outputs of similar age
#5,895
of 112,637 outputs
Outputs of similar age from Nucleic Acids Research
#6
of 219 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,863 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 94% 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 112,637 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 93% of its contemporaries.
We're also able to compare this research output to 219 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 97% of its contemporaries.