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X Demographics
Mendeley readers
Attention Score in Context
| Title |
quantro: a data-driven approach to guide the choice of an appropriate normalization method
|
|---|---|
| Published in |
Genome Biology, June 2015
|
| DOI | 10.1186/s13059-015-0679-0 |
| Pubmed ID | |
| Authors |
Stephanie C. Hicks, Rafael A. Irizarry |
X Demographics
The data shown below were collected from the profiles of 68 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 | 15 | 22% |
| Australia | 5 | 7% |
| United Kingdom | 4 | 6% |
| Canada | 4 | 6% |
| Spain | 3 | 4% |
| Germany | 3 | 4% |
| France | 3 | 4% |
| Switzerland | 3 | 4% |
| New Zealand | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 18 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 48 | 71% |
| Members of the public | 19 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 2 | <1% |
| Sweden | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 241 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 27% |
| Researcher | 70 | 27% |
| Student > Master | 26 | 10% |
| Student > Bachelor | 15 | 6% |
| Student > Postgraduate | 12 | 5% |
| Other | 39 | 15% |
| Unknown | 24 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 34% |
| Biochemistry, Genetics and Molecular Biology | 58 | 23% |
| Computer Science | 24 | 9% |
| Medicine and Dentistry | 14 | 5% |
| Mathematics | 12 | 5% |
| Other | 24 | 9% |
| Unknown | 37 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 14 July 2021.
All research outputs
#1,168,472
of 25,706,302 outputs
Outputs from Genome Biology
#855
of 4,504 outputs
Outputs of similar age
#14,031
of 281,802 outputs
Outputs of similar age from Genome Biology
#14
of 63 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 done well, scoring higher than 81% 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 281,802 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 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.