You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Quasi-Relational Query Language Interface for Persistent Standardized EHRs: Using NoSQL Databases
|
|---|---|
| Chapter number | 15 |
| Book title |
Databases in Networked Information Systems
|
| Published in |
Lecture notes in computer science, January 2013
|
| DOI | 10.1007/978-3-642-37134-9_15 |
| Book ISBNs |
978-3-64-237133-2, 978-3-64-237134-9
|
| Authors |
Aastha Madaan, Wanming Chu, Yaginuma Daigo, Subhash Bhalla |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Student > Master | 4 | 18% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Other | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 68% |
| Economics, Econometrics and Finance | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 5 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 June 2013.
All research outputs
#14,616,571
of 24,527,858 outputs
Outputs from Lecture notes in computer science
#4,079
of 8,156 outputs
Outputs of similar age
#168,833
of 290,256 outputs
Outputs of similar age from Lecture notes in computer science
#150
of 315 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 48th percentile – i.e., 48% 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 290,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.