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A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk

Overview of attention for article published in Genome Biology (Online Edition), May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
60 Mendeley
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Title
A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk
Published in
Genome Biology (Online Edition), May 2020
DOI 10.1186/s13059-020-02019-x
Pubmed ID
Authors

Andrew J. Gentles, Angela Bik-Yu Hui, Weiguo Feng, Armon Azizi, Ramesh V. Nair, Gina Bouchard, David A. Knowles, Alice Yu, Youngtae Jeong, Alborz Bejnood, Erna Forgó, Sushama Varma, Yue Xu, Amanda Kuong, Viswam S. Nair, Rob West, Matt van de Rijn, Chuong D. Hoang, Maximilian Diehn, Sylvia K. Plevritis

Twitter Demographics

The data shown below were collected from the profiles of 14 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 27%
Student > Master 8 13%
Student > Ph. D. Student 6 10%
Student > Bachelor 4 7%
Student > Doctoral Student 3 5%
Other 3 5%
Unknown 20 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 20%
Agricultural and Biological Sciences 9 15%
Medicine and Dentistry 4 7%
Computer Science 4 7%
Immunology and Microbiology 2 3%
Other 6 10%
Unknown 23 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 September 2020.
All research outputs
#3,975,433
of 20,767,801 outputs
Outputs from Genome Biology (Online Edition)
#2,474
of 3,979 outputs
Outputs of similar age
#82,558
of 295,382 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,767,801 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 37th percentile – i.e., 37% 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 295,382 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 71% 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