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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2019
|
| DOI | 10.1186/s12967-019-2010-4 |
| Pubmed ID | |
| Authors |
Yanjun Xu, Qun Dong, Feng Li, Yingqi Xu, Congxue Hu, Jingwen Wang, Desi Shang, Xuan Zheng, Haixiu Yang, Chunlong Zhang, Mengting Shao, Mohan Meng, Zhiying Xiong, Xia Li, Yunpeng Zhang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 21 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Computer Science | 8 | 15% |
| Medicine and Dentistry | 7 | 13% |
| Agricultural and Biological Sciences | 4 | 8% |
| Nursing and Health Professions | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 August 2019.
All research outputs
#14,454,522
of 23,153,849 outputs
Outputs from Journal of Translational Medicine
#1,816
of 4,071 outputs
Outputs of similar age
#189,279
of 345,071 outputs
Outputs of similar age from Journal of Translational Medicine
#30
of 59 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 345,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.