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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of the salivary microbiome using culture-independent techniques
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, February 2012
|
| DOI | 10.1186/2043-9113-2-4 |
| Pubmed ID | |
| Authors |
Vladimir Lazarevic, Katrine Whiteson, Nadia Gaïa, Yann Gizard, David Hernandez, Laurent Farinelli, Magne Østerås, Patrice François, Jacques Schrenzel |
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 | 2 | 40% |
| Germany | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 2 | 1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Ireland | 1 | <1% |
| Slovenia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 151 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 22% |
| Student > Ph. D. Student | 34 | 20% |
| Student > Master | 17 | 10% |
| Student > Bachelor | 16 | 10% |
| Professor > Associate Professor | 12 | 7% |
| Other | 30 | 18% |
| Unknown | 21 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 43% |
| Biochemistry, Genetics and Molecular Biology | 19 | 11% |
| Medicine and Dentistry | 14 | 8% |
| Immunology and Microbiology | 13 | 8% |
| Chemistry | 4 | 2% |
| Other | 15 | 9% |
| Unknown | 29 | 17% |
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 03 March 2012.
All research outputs
#15,528,733
of 26,017,215 outputs
Outputs from Journal of Clinical Bioinformatics
#24
of 63 outputs
Outputs of similar age
#160,920
of 259,664 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#3
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 63 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 61% 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 259,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.