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Predictive and Accelerated Formulation Design Using Synchrotron Methods

Overview of attention for article published in AAPS PharmSciTech, April 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 904)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
7 news outlets

Readers on

mendeley
1 Mendeley
Title
Predictive and Accelerated Formulation Design Using Synchrotron Methods
Published in
AAPS PharmSciTech, April 2019
DOI 10.1208/s12249-019-1375-2
Pubmed ID
Authors

Stephen R. Byrn, Xiaoming Sean Chen, Pamela A. Smith

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 July 2019.
All research outputs
#318,540
of 13,406,972 outputs
Outputs from AAPS PharmSciTech
#2
of 904 outputs
Outputs of similar age
#11,271
of 244,979 outputs
Outputs of similar age from AAPS PharmSciTech
#1
of 33 outputs
Altmetric has tracked 13,406,972 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 904 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% 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 244,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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 particularly well, scoring higher than 96% of its contemporaries.