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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Database for Aggregate Analysis of ClinicalTrials.gov (AACT) and Subsequent Regrouping by Clinical Specialty
|
|---|---|
| Published in |
PLOS ONE, March 2012
|
| DOI | 10.1371/journal.pone.0033677 |
| Pubmed ID | |
| Authors |
Asba Tasneem, Laura Aberle, Hari Ananth, Swati Chakraborty, Karen Chiswell, Brian J. McCourt, Ricardo Pietrobon |
| Abstract |
The ClinicalTrials.gov registry provides information regarding characteristics of past, current, and planned clinical studies to patients, clinicians, and researchers; in addition, registry data are available for bulk download. However, issues related to data structure, nomenclature, and changes in data collection over time present challenges to the aggregate analysis and interpretation of these data in general and to the analysis of trials according to clinical specialty in particular. Improving usability of these data could enhance the utility of ClinicalTrials.gov as a research resource. |
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 % |
|---|---|---|
| Comoros | 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| Australia | 2 | 2% |
| Unknown | 106 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 23% |
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 22 | 19% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 19% |
| Computer Science | 19 | 17% |
| Engineering | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Agricultural and Biological Sciences | 7 | 6% |
| Other | 30 | 27% |
| Unknown | 17 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 22 March 2023.
All research outputs
#2,376,628
of 25,837,817 outputs
Outputs from PLOS ONE
#28,925
of 224,660 outputs
Outputs of similar age
#13,701
of 172,985 outputs
Outputs of similar age from PLOS ONE
#443
of 3,629 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 86% 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 172,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,629 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.