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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NIDDK data repository: a central collection of clinical trial data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2006
|
| DOI | 10.1186/1472-6947-6-19 |
| Pubmed ID | |
| Authors |
A Jamie Cuticchia, Philip C Cooley, R David Hall, Ying Qin |
| Abstract |
The National Institute of Diabetes and Digestive and Kidney Diseases have established central repositories for the collection of DNA, biological samples, and clinical data to be catalogued at a single site. Here we present an overview of the site which stores the clinical data and links to biospecimens. |
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 % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 5% |
| Unknown | 18 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Ph. D. Student | 3 | 16% |
| Professor > Associate Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Librarian | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Computer Science | 3 | 16% |
| Engineering | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
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 05 August 2013.
All research outputs
#14,756,074
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,227
of 1,982 outputs
Outputs of similar age
#58,092
of 66,215 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 9 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 66,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.