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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mining characteristics of epidemiological studies from Medline: a case study in obesity
|
|---|---|
| Published in |
Journal of Biomedical Semantics, May 2014
|
| DOI | 10.1186/2041-1480-5-22 |
| Pubmed ID | |
| Authors |
George Karystianis, Iain Buchan, Goran Nenadic |
| Abstract |
The health sciences literature incorporates a relatively large subset of epidemiological studies that focus on population-level findings, including various determinants, outcomes and correlations. Extracting structured information about those characteristics would be useful for more complete understanding of diseases and for meta-analyses and systematic reviews. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Mexico | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 5 | 14% |
| Researcher | 5 | 14% |
| Other | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 37% |
| Medicine and Dentistry | 9 | 26% |
| Agricultural and Biological Sciences | 4 | 11% |
| Business, Management and Accounting | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 May 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Journal of Biomedical Semantics
#238
of 364 outputs
Outputs of similar age
#133,126
of 227,120 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 5 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% 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 227,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.