You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools
|
|---|---|
| Published in |
BMC Bioinformatics, October 2017
|
| DOI | 10.1186/s12859-017-1797-3 |
| Pubmed ID | |
| Authors |
Zhandong Liu, W. Jim Zheng, Genevera I. Allen, Yin Liu, Jianhua Ruan, Zhongming Zhao |
| Abstract |
The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8-10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical informatics, cancer genomics, and systems biology. Here, we present a summary of the nine research articles selected from ICIBM 2016 program for publishing in BMC Bioinformatics. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Researcher | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Agricultural and Biological Sciences | 3 | 12% |
| Computer Science | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from BMC Bioinformatics
#6,349
of 7,312 outputs
Outputs of similar age
#247,363
of 323,064 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 105 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 323,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.