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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A statistical analysis of vaccine-adverse event data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2019
|
| DOI | 10.1186/s12911-019-0818-8 |
| Pubmed ID | |
| Authors |
Jian-Jian Ren, Tingni Sun, Yongqun He, Yuji Zhang |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| South Africa | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Professor > Associate Professor | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 15% |
| Medicine and Dentistry | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 15 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 23 December 2022.
All research outputs
#2,374,658
of 23,924,883 outputs
Outputs from BMC Medical Informatics and Decision Making
#147
of 2,052 outputs
Outputs of similar age
#51,068
of 353,048 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 33 outputs
Altmetric has tracked 23,924,883 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 2,052 research outputs from this source. They receive a mean Attention Score of 5.0. 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 353,048 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 85% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.