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Identification of molecular sub-networks associated with cell survival in a chronically SIVmac-infected human CD4+ T cell line

Overview of attention for article published in Virology Journal, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Identification of molecular sub-networks associated with cell survival in a chronically SIVmac-infected human CD4+ T cell line
Published in
Virology Journal, August 2014
DOI 10.1186/1743-422x-11-152
Pubmed ID
Authors

Feng Q He, Ulrike Sauermann, Christiane Beer, Silke Winkelmann, Zheng Yu, Sieghart Sopper, An-Ping Zeng, Manfred Wirth

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Other 2 17%
Student > Ph. D. Student 2 17%
Student > Master 1 8%
Lecturer > Senior Lecturer 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 25%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Computer Science 1 8%
Other 3 25%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 May 2015.
All research outputs
#3,058,831
of 22,761,738 outputs
Outputs from Virology Journal
#286
of 3,040 outputs
Outputs of similar age
#33,064
of 236,468 outputs
Outputs of similar age from Virology Journal
#6
of 55 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done particularly well, scoring higher than 90% 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 236,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 55 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.