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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to iDASH healthcare privacy protection challenge
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2014
|
| DOI | 10.1186/1472-6947-14-s1-s3 |
| Pubmed ID | |
| Authors |
Fei Yu, Zhanglong Ji |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 6 | 19% |
| Other | 4 | 13% |
| Professor > Associate Professor | 3 | 10% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 26% |
| Medicine and Dentistry | 3 | 10% |
| Mathematics | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 10 | 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 09 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,568
of 1,984 outputs
Outputs of similar age
#261,281
of 360,800 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 34 outputs
Altmetric has tracked 22,772,779 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 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 360,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.