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Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model

Overview of attention for article published in Frontiers in oncology, July 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)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
6 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
309 Mendeley
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Title
Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model
Published in
Frontiers in oncology, July 2020
DOI 10.3389/fonc.2020.01195
Pubmed ID
Authors

Barbara Schrörs, Sebastian Boegel, Christian Albrecht, Thomas Bukur, Valesca Bukur, Christoph Holtsträter, Christoph Ritzel, Katja Manninen, Arbel D. Tadmor, Mathias Vormehr, Ugur Sahin, Martin Löwer

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 309 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 14%
Researcher 34 11%
Student > Master 34 11%
Student > Doctoral Student 18 6%
Student > Bachelor 18 6%
Other 31 10%
Unknown 132 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 66 21%
Immunology and Microbiology 19 6%
Medicine and Dentistry 17 6%
Pharmacology, Toxicology and Pharmaceutical Science 14 5%
Agricultural and Biological Sciences 13 4%
Other 35 11%
Unknown 145 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 November 2020.
All research outputs
#4,904,046
of 25,837,817 outputs
Outputs from Frontiers in oncology
#1,728
of 22,773 outputs
Outputs of similar age
#115,459
of 431,289 outputs
Outputs of similar age from Frontiers in oncology
#55
of 525 outputs
Altmetric has tracked 25,837,817 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 22,773 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 92% 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 431,289 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 525 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.