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Gene expression patterns in blood leukocytes discriminate patients with acute infections

Overview of attention for article published in Blood, November 2006
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
41 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
428 Dimensions

Readers on

mendeley
297 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Gene expression patterns in blood leukocytes discriminate patients with acute infections
Published in
Blood, November 2006
DOI 10.1182/blood-2006-02-002477
Pubmed ID
Authors

Octavio Ramilo, Windy Allman, Wendy Chung, Asuncion Mejias, Monica Ardura, Casey Glaser, Knut M. Wittkowski, Bernard Piqueras, Jacques Banchereau, A. Karolina Palucka, Damien Chaussabel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 2%
United States 7 2%
Germany 2 <1%
Ireland 1 <1%
Austria 1 <1%
Czechia 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Israel 1 <1%
Other 0 0%
Unknown 275 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 81 27%
Student > Ph. D. Student 62 21%
Student > Postgraduate 20 7%
Professor > Associate Professor 20 7%
Student > Master 19 6%
Other 64 22%
Unknown 31 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 28%
Medicine and Dentistry 78 26%
Biochemistry, Genetics and Molecular Biology 36 12%
Immunology and Microbiology 30 10%
Engineering 7 2%
Other 19 6%
Unknown 43 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 March 2024.
All research outputs
#2,563,675
of 23,506,079 outputs
Outputs from Blood
#2,904
of 31,930 outputs
Outputs of similar age
#5,279
of 69,197 outputs
Outputs of similar age from Blood
#31
of 426 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,930 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 89% 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 69,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 426 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.