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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 (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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5 X users

Citations

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19 Dimensions

Readers on

mendeley
38 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 6 16%
Other 4 11%
Student > Bachelor 3 8%
Professor > Associate Professor 2 5%
Other 4 11%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 13%
Medicine and Dentistry 5 13%
Engineering 4 11%
Agricultural and Biological Sciences 4 11%
Chemistry 3 8%
Other 3 8%
Unknown 14 37%
Attention Score in Context

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
#13,062,853
of 23,133,982 outputs
Outputs from BMC Cancer
#2,755
of 8,395 outputs
Outputs of similar age
#165,937
of 351,339 outputs
Outputs of similar age from BMC Cancer
#63
of 174 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,395 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 66% 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 351,339 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 52% of its contemporaries.
We're also able to compare this research output to 174 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 63% of its contemporaries.