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A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases

Overview of attention for article published in Genome Medicine, July 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 (#4 of 1,156)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
86 news outlets
blogs
1 blog
twitter
28 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
108 Mendeley
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Title
A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases
Published in
Genome Medicine, July 2019
DOI 10.1186/s13073-019-0657-3
Pubmed ID
Authors

Danuta R. Gawel, Jordi Serra-Musach, Sandra Lilja, Jesper Aagesen, Alex Arenas, Bengt Asking, Malin Bengnér, Janne Björkander, Sophie Biggs, Jan Ernerudh, Henrik Hjortswang, Jan-Erik Karlsson, Mattias Köpsen, Eun Jung Lee, Antonio Lentini, Xinxiu Li, Mattias Magnusson, David Martínez-Enguita, Andreas Matussek, Colm E. Nestor, Samuel Schäfer, Oliver Seifert, Ceylan Sonmez, Henrik Stjernman, Andreas Tjärnberg, Simon Wu, Karin Åkesson, Alex K. Shalek, Margaretha Stenmarker, Huan Zhang, Mika Gustafsson, Mikael Benson

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 19 18%
Student > Master 12 11%
Student > Bachelor 10 9%
Student > Postgraduate 5 5%
Other 16 15%
Unknown 26 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 34%
Agricultural and Biological Sciences 12 11%
Medicine and Dentistry 8 7%
Computer Science 6 6%
Engineering 3 3%
Other 12 11%
Unknown 30 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 703. 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 17 September 2020.
All research outputs
#14,875
of 17,375,479 outputs
Outputs from Genome Medicine
#4
of 1,156 outputs
Outputs of similar age
#387
of 267,520 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 17,375,479 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. 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 267,520 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 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them