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Molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC

Overview of attention for article published in BMC Genomics, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users
reddit
1 Redditor

Citations

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12 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC
Published in
BMC Genomics, October 2020
DOI 10.1186/s12864-020-07147-z
Pubmed ID
Authors

Chitrita Goswami, Smriti Chawla, Deepshi Thakral, Himanshu Pant, Pramod Verma, Prabhat Singh Malik, Jayadeva, Ritu Gupta, Gaurav Ahuja, Debarka Sengupta

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Master 5 14%
Student > Bachelor 3 8%
Other 2 6%
Student > Ph. D. Student 2 6%
Other 1 3%
Unknown 17 47%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 5 14%
Engineering 2 6%
Computer Science 2 6%
Immunology and Microbiology 2 6%
Other 2 6%
Unknown 18 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 December 2020.
All research outputs
#13,709,295
of 23,253,955 outputs
Outputs from BMC Genomics
#5,043
of 10,734 outputs
Outputs of similar age
#207,191
of 420,254 outputs
Outputs of similar age from BMC Genomics
#70
of 198 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,734 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 420,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.