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Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis

Overview of attention for article published in BMC Medical Research Methodology, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

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12 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis
Published in
BMC Medical Research Methodology, November 2021
DOI 10.1186/s12874-021-01409-4
Pubmed ID
Authors

Ann-Marie Mallon, Dieter A. Häring, Frank Dahlke, Piet Aarden, Soroosh Afyouni, Daniel Delbarre, Khaled El Emam, Habib Ganjgahi, Stephen Gardiner, Chun Hei Kwok, Dominique M. West, Ewan Straiton, Sibylle Haemmerle, Adam Huffman, Tom Hofmann, Luke J. Kelly, Peter Krusche, Marie-Claude Laramee, Karine Lheritier, Greg Ligozio, Aimee Readie, Luis Santos, Thomas E. Nichols, Janice Branson, Chris Holmes

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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Professor 6 10%
Student > Master 6 10%
Student > Doctoral Student 6 10%
Researcher 6 10%
Student > Ph. D. Student 4 7%
Other 8 14%
Unknown 23 39%
Readers by discipline Count As %
Medicine and Dentistry 10 17%
Biochemistry, Genetics and Molecular Biology 4 7%
Computer Science 4 7%
Nursing and Health Professions 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 10 17%
Unknown 27 46%
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 24 November 2021.
All research outputs
#14,666,620
of 25,837,817 outputs
Outputs from BMC Medical Research Methodology
#1,356
of 2,318 outputs
Outputs of similar age
#179,246
of 436,064 outputs
Outputs of similar age from BMC Medical Research Methodology
#35
of 62 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 40th percentile – i.e., 40% 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 436,064 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 57% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.