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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sagace: A web-based search engine for biomedical databases in Japan
|
|---|---|
| Published in |
BMC Research Notes, October 2012
|
| DOI | 10.1186/1756-0500-5-604 |
| Pubmed ID | |
| Authors |
Mizuki Morita, Yoshinobu Igarashi, Maori Ito, Yi-An Chen, Chioko Nagao, Yuki Sakaguchi, Ryuichi Sakate, Tohru Masui, Kenji Mizuguchi |
| Abstract |
In the big data era, biomedical research continues to generate a large amount of data, and the generated information is often stored in a database and made publicly available. Although combining data from multiple databases should accelerate further studies, the current number of life sciences databases is too large to grasp features and contents of each database. |
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 % |
|---|---|---|
| Comoros | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 28% |
| Student > Ph. D. Student | 4 | 22% |
| Student > Master | 4 | 22% |
| Lecturer | 2 | 11% |
| Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Agricultural and Biological Sciences | 3 | 17% |
| Decision Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 November 2012.
All research outputs
#7,593,718
of 23,150,406 outputs
Outputs from BMC Research Notes
#1,252
of 4,293 outputs
Outputs of similar age
#59,901
of 185,395 outputs
Outputs of similar age from BMC Research Notes
#25
of 77 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 65% 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 185,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.