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A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature

Overview of attention for article published in Frontiers in Pharmacology, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
29 Mendeley
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Title
A Novel Text-Mining Approach for Retrieving Pharmacogenomics Associations From the Literature
Published in
Frontiers in Pharmacology, November 2020
DOI 10.3389/fphar.2020.602030
Pubmed ID
Authors

Maria-Theodora Pandi, Peter J. van der Spek, Maria Koromina, George P. Patrinos

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Other 3 10%
Researcher 3 10%
Student > Master 2 7%
Professor 1 3%
Other 1 3%
Unknown 14 48%
Readers by discipline Count As %
Computer Science 4 14%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Social Sciences 2 7%
Agricultural and Biological Sciences 1 3%
Other 5 17%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 February 2021.
All research outputs
#13,488,046
of 23,267,128 outputs
Outputs from Frontiers in Pharmacology
#3,934
of 16,699 outputs
Outputs of similar age
#198,234
of 415,882 outputs
Outputs of similar age from Frontiers in Pharmacology
#122
of 474 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,699 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 415,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 474 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 73% of its contemporaries.