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The identification of metabolism-related subtypes and potential treatments for idiopathic pulmonary fibrosis

Overview of attention for article published in Frontiers in Pharmacology, May 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
2 Mendeley
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Title
The identification of metabolism-related subtypes and potential treatments for idiopathic pulmonary fibrosis
Published in
Frontiers in Pharmacology, May 2023
DOI 10.3389/fphar.2023.1173961
Pubmed ID
Authors

Changqing Yang, Guixin Wang, Wenyu Zhan, Yubao Wang, Jing Feng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Unspecified 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 June 2023.
All research outputs
#15,616,271
of 23,971,024 outputs
Outputs from Frontiers in Pharmacology
#5,693
of 17,648 outputs
Outputs of similar age
#132,591
of 271,643 outputs
Outputs of similar age from Frontiers in Pharmacology
#96
of 618 outputs
Altmetric has tracked 23,971,024 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,648 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 61% 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 271,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 618 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.