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Editorial: Application of data mining in pharmaceutical research

Overview of attention for article published in Frontiers in Pharmacology, March 2024
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1 X user

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2 Mendeley
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Title
Editorial: Application of data mining in pharmaceutical research
Published in
Frontiers in Pharmacology, March 2024
DOI 10.3389/fphar.2024.1388738
Pubmed ID
Authors

Qingting Bu, Jun Lyu, Limei Zhao, Shiyi Cao, Deyong Jia, Zhenyu Pan

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 March 2024.
All research outputs
#22,776,397
of 25,391,701 outputs
Outputs from Frontiers in Pharmacology
#12,421
of 19,739 outputs
Outputs of similar age
#121,162
of 150,723 outputs
Outputs of similar age from Frontiers in Pharmacology
#122
of 383 outputs
Altmetric has tracked 25,391,701 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 150,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 383 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.