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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-120 |
| Pubmed ID | |
| Authors |
Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J Theis, H-Erich Wichmann, Christian Gieger, Karsten Suhre |
X Demographics
The data shown below were collected from the profiles of 21 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 Kingdom | 2 | 10% |
| United States | 2 | 10% |
| Canada | 2 | 10% |
| Pakistan | 1 | 5% |
| Singapore | 1 | 5% |
| India | 1 | 5% |
| Germany | 1 | 5% |
| Spain | 1 | 5% |
| Finland | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 48% |
| Members of the public | 8 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 112 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 28% |
| Student > Ph. D. Student | 25 | 21% |
| Student > Master | 16 | 14% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 11 | 9% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 30% |
| Biochemistry, Genetics and Molecular Biology | 22 | 19% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 6 | 5% |
| Chemistry | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 November 2022.
All research outputs
#3,129,571
of 25,882,826 outputs
Outputs from BMC Bioinformatics
#919
of 7,761 outputs
Outputs of similar age
#19,796
of 181,567 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 102 outputs
Altmetric has tracked 25,882,826 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,761 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 88% 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 181,567 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.