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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing
|
---|---|
Published in |
Research Metrics and Analytics (RMA), June 2021
|
DOI | 10.3389/frma.2021.670006 |
Pubmed ID | |
Authors |
Yiwen Shi, Ping Ren, Yi Zhang, Xiajing Gong, Meng Hu, Hualou Liang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
United Kingdom | 1 | 20% |
France | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 20% |
Researcher | 1 | 7% |
Other | 1 | 7% |
Unknown | 10 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Unknown | 10 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 28 June 2021.
All research outputs
#4,854,725
of 26,163,973 outputs
Outputs from Research Metrics and Analytics (RMA)
#154
of 375 outputs
Outputs of similar age
#108,010
of 462,516 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#14
of 35 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has gotten more attention than average, scoring higher than 58% 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 462,516 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 76% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.