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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level
|
|---|---|
| Published in |
Genome Biology, May 2012
|
| DOI | 10.1186/gb-2012-13-5-r40 |
| Pubmed ID | |
| Authors |
Stephan Binder, Georg Schendzielorz, Norma Stäbler, Karin Krumbach, Kristina Hoffmann, Michael Bott, Lothar Eggeling |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| United Kingdom | 2 | 33% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 3 | 1% |
| Denmark | 3 | 1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 282 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 27% |
| Researcher | 64 | 21% |
| Student > Master | 45 | 15% |
| Student > Bachelor | 28 | 9% |
| Student > Doctoral Student | 12 | 4% |
| Other | 33 | 11% |
| Unknown | 37 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 110 | 37% |
| Biochemistry, Genetics and Molecular Biology | 81 | 27% |
| Engineering | 26 | 9% |
| Chemistry | 11 | 4% |
| Chemical Engineering | 9 | 3% |
| Other | 12 | 4% |
| Unknown | 49 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 06 February 2019.
All research outputs
#1,383,547
of 25,998,826 outputs
Outputs from Genome Biology
#1,088
of 4,520 outputs
Outputs of similar age
#7,641
of 182,486 outputs
Outputs of similar age from Genome Biology
#7
of 43 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 75% 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 182,486 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 95% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.