| Title |
Integrated high-throughput analysis identifies super enhancers associated with chemoresistance in SCLC
|
|---|---|
| Published in |
BMC Medical Genomics, May 2019
|
| DOI | 10.1186/s12920-019-0520-9 |
| Pubmed ID | |
| Authors |
Jiarong Bao, Man Li, Shumei Liang, Yunchu Yang, Jingfang Wu, Qingqing Zou, Shun Fang, Size Chen, Linlang Guo |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Unspecified | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 8 | 53% |
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 11 July 2019.
All research outputs
#15,046,119
of 23,149,216 outputs
Outputs from BMC Medical Genomics
#616
of 1,239 outputs
Outputs of similar age
#204,953
of 350,389 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 32 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,239 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 350,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.