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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Introduction: the International Conference on Intelligent Biology and Medicine (ICIBM) 2016: special focus on medical informatics and big data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2017
|
| DOI | 10.1186/s12911-017-0462-0 |
| Pubmed ID | |
| Authors |
Cui Tao, Yang Gong, Hua Xu, Zhongming Zhao |
| Abstract |
In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. At ICIBM 2016, a special theme, "Medical Informatics and Big Data," was dedicated to the recent advances of data science in the medical domain. After peer review, ten articles were selected for this special issue, covering topics such as Knowledge and Data Personalization, Social Media Applications to Healthcare, Clinical Natural Language Processing, Patient Safety Analyses, and Data Mining Using Electronic Health Records. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Researcher | 8 | 15% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Other | 4 | 7% |
| Other | 13 | 24% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Computer Science | 12 | 22% |
| Engineering | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 17 | 31% |
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 13 July 2017.
All research outputs
#20,434,884
of 22,988,380 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,815
of 2,003 outputs
Outputs of similar age
#273,184
of 313,314 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 41 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 313,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.