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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 (72nd percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
58 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 28%
Student > Master 8 14%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 2 3%
Unknown 18 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 9 16%
Medicine and Dentistry 4 7%
Computer Science 4 7%
Immunology and Microbiology 2 3%
Other 4 7%
Unknown 22 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
#3,596,174
of 18,866,097 outputs
Outputs from Genome Biology (Online Edition)
#2,307
of 3,773 outputs
Outputs of similar age
#80,202
of 290,152 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,866,097 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 3,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 38th percentile – i.e., 38% 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 290,152 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 72% 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