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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High dimensional biological data retrieval optimization with NoSQL technology
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-s8-s3 |
| Pubmed ID | |
| Authors |
Shicai Wang, Ioannis Pandis, Chao Wu, Sijin He, David Johnson, Ibrahim Emam, Florian Guitton, Yike Guo |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| United Kingdom | 1 | 17% |
| Netherlands | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | 1% |
| Finland | 1 | 1% |
| Brazil | 1 | 1% |
| Canada | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 76 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 27% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Master | 12 | 14% |
| Other | 6 | 7% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 9% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 32% |
| Agricultural and Biological Sciences | 10 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Medicine and Dentistry | 7 | 8% |
| Engineering | 6 | 7% |
| Other | 4 | 5% |
| Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 04 August 2016.
All research outputs
#6,390,605
of 22,770,070 outputs
Outputs from BMC Genomics
#2,871
of 10,639 outputs
Outputs of similar age
#70,647
of 258,732 outputs
Outputs of similar age from BMC Genomics
#67
of 283 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 73% 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 258,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.