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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines
|
|---|---|
| Published in |
Genome Biology, March 2014
|
| DOI | 10.1186/gb-2014-15-3-r47 |
| Pubmed ID | |
| Authors |
Paul Geeleher, Nancy J Cox, R Stephanie Huang |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Canada | 1 | 9% |
| Nigeria | 1 | 9% |
| Spain | 1 | 9% |
| Germany | 1 | 9% |
| South Africa | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Denmark | 2 | <1% |
| India | 2 | <1% |
| Finland | 1 | <1% |
| Hong Kong | 1 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 306 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 96 | 30% |
| Researcher | 57 | 18% |
| Student > Master | 29 | 9% |
| Student > Bachelor | 19 | 6% |
| Student > Postgraduate | 15 | 5% |
| Other | 43 | 13% |
| Unknown | 63 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 80 | 25% |
| Agricultural and Biological Sciences | 63 | 20% |
| Computer Science | 42 | 13% |
| Medicine and Dentistry | 27 | 8% |
| Engineering | 12 | 4% |
| Other | 26 | 8% |
| Unknown | 72 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 24 October 2014.
All research outputs
#1,144,594
of 26,017,215 outputs
Outputs from Genome Biology
#838
of 4,520 outputs
Outputs of similar age
#11,084
of 240,402 outputs
Outputs of similar age from Genome Biology
#20
of 65 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 95th percentile: it's in the top 5% 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 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 240,402 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 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.