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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next generation informatics for big data in precision medicine era
|
|---|---|
| Published in |
BioData Mining, November 2015
|
| DOI | 10.1186/s13040-015-0064-2 |
| Pubmed ID | |
| Authors |
Yuji Zhang, Qian Zhu, Hongfang Liu |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| France | 2 | 13% |
| Germany | 2 | 13% |
| Spain | 1 | 7% |
| Australia | 1 | 7% |
| Greece | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 89 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Master | 17 | 19% |
| Student > Ph. D. Student | 12 | 13% |
| Other | 7 | 8% |
| Lecturer | 6 | 7% |
| Other | 21 | 23% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 23% |
| Agricultural and Biological Sciences | 13 | 14% |
| Medicine and Dentistry | 11 | 12% |
| Engineering | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 18 | 20% |
| Unknown | 16 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 March 2016.
All research outputs
#3,652,179
of 25,837,817 outputs
Outputs from BioData Mining
#64
of 325 outputs
Outputs of similar age
#48,706
of 299,098 outputs
Outputs of similar age from BioData Mining
#1
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 79% 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 299,098 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 83% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.