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Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis

Overview of attention for article published in BMC Cancer, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis
Published in
BMC Cancer, March 2019
DOI 10.1186/s12885-019-5382-1
Pubmed ID
Authors

Arturo B. Ramirez, Raksha Bhat, Debashish Sahay, Carmine De Angelis, Hariprasad Thangavel, Sina Hedayatpour, Lacey E. Dobrolecki, Agostina Nardone, Mario Giuliano, Chandandeep Nagi, Mothaffar Rimawi, C. Kent Osborne, Michael T. Lewis, Jackie L. Stilwell, Eric P. Kaldjian, Rachel Schiff, Meghana V. Trivedi

Twitter Demographics

The data shown below were collected from the profiles of 5 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 6 20%
Other 4 13%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 7 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 4 13%
Agricultural and Biological Sciences 4 13%
Engineering 4 13%
Chemistry 3 10%
Other 2 7%
Unknown 8 27%

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 09 May 2019.
All research outputs
#10,573,268
of 19,214,062 outputs
Outputs from BMC Cancer
#2,211
of 6,931 outputs
Outputs of similar age
#127,134
of 280,055 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 19,214,062 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,931 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 67% 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 280,055 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 54% 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