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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2014
|
| DOI | 10.1186/1472-6947-14-38 |
| Pubmed ID | |
| Authors |
Adedayo A Onitilo, Rachel V Stankowski, Richard L Berg, Jessica M Engel, Gail M Williams, Suhail A Doi |
| Abstract |
We developed an algorithm for the identification of patients with type 2 diabetes and ascertainment of the date of diabetes onset for examination of the temporal relationship between diabetes and cancer using data in the electronic medical record (EMR). |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Ghana | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 17% |
| Researcher | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 20% |
| Social Sciences | 3 | 7% |
| Psychology | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 16 | 39% |
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 03 June 2014.
All research outputs
#15,300,431
of 22,755,127 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,309
of 1,985 outputs
Outputs of similar age
#133,755
of 227,219 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 32 outputs
Altmetric has tracked 22,755,127 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 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 227,219 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 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.