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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A community assessment of privacy preserving techniques for human genomes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2014
|
| DOI | 10.1186/1472-6947-14-s1-s1 |
| Pubmed ID | |
| Authors |
Xiaoqian Jiang, Yongan Zhao, Xiaofeng Wang, Bradley Malin, Shuang Wang, Lucila Ohno-Machado, Haixu Tang |
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 % |
|---|---|---|
| India | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 42% |
| Student > Master | 5 | 14% |
| Professor > Associate Professor | 3 | 8% |
| Researcher | 3 | 8% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 33% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Engineering | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 August 2016.
All research outputs
#2,904,771
of 23,340,595 outputs
Outputs from BMC Medical Informatics and Decision Making
#222
of 2,022 outputs
Outputs of similar age
#42,250
of 363,871 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 34 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 363,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
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 has done particularly well, scoring higher than 94% of its contemporaries.