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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A roadmap to using historical controls in clinical trials – by Drug Information Association Adaptive Design Scientific Working Group (DIA-ADSWG)
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, March 2020
|
| DOI | 10.1186/s13023-020-1332-x |
| Pubmed ID | |
| Authors |
Mercedeh Ghadessi, Rui Tang, Joey Zhou, Rong Liu, Chenkun Wang, Kiichiro Toyoizumi, Chaoqun Mei, Lixia Zhang, C. Q. Deng, Robert A. Beckman |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 14% |
| Other | 21 | 13% |
| Student > Ph. D. Student | 18 | 11% |
| Student > Bachelor | 10 | 6% |
| Student > Master | 10 | 6% |
| Other | 16 | 10% |
| Unknown | 60 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 14% |
| Mathematics | 20 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 7% |
| Neuroscience | 8 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Other | 17 | 11% |
| Unknown | 73 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 11 December 2023.
All research outputs
#2,024,742
of 24,978,429 outputs
Outputs from Orphanet Journal of Rare Diseases
#227
of 3,008 outputs
Outputs of similar age
#45,471
of 369,522 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#3
of 45 outputs
Altmetric has tracked 24,978,429 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,008 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 92% 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 369,522 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.