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X Demographics
Mendeley readers
Attention Score in Context
Title |
Anticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selection
|
---|---|
Published in |
BMC Cancer, June 2015
|
DOI | 10.1186/s12885-015-1492-6 |
Pubmed ID | |
Authors |
Zuoli Dong, Naiqian Zhang, Chun Li, Haiyun Wang, Yun Fang, Jun Wang, Xiaoqi Zheng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Hong Kong | 1 | <1% |
United States | 1 | <1% |
China | 1 | <1% |
Unknown | 164 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 25% |
Student > Master | 24 | 14% |
Researcher | 23 | 14% |
Student > Bachelor | 10 | 6% |
Student > Postgraduate | 7 | 4% |
Other | 24 | 14% |
Unknown | 38 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 33 | 20% |
Computer Science | 33 | 20% |
Agricultural and Biological Sciences | 24 | 14% |
Engineering | 7 | 4% |
Medicine and Dentistry | 6 | 4% |
Other | 18 | 11% |
Unknown | 47 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 13 February 2017.
All research outputs
#4,517,025
of 26,017,215 outputs
Outputs from BMC Cancer
#1,087
of 9,124 outputs
Outputs of similar age
#52,344
of 280,732 outputs
Outputs of similar age from BMC Cancer
#19
of 161 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,124 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 280,732 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 80% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.