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Monocyte and macrophage differentiation: circulation inflammatory monocyte as biomarker for inflammatory diseases

Overview of attention for article published in Biomarker Research, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 389)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
5 news outlets
twitter
10 X users
patent
4 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
759 Dimensions

Readers on

mendeley
1692 Mendeley
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Title
Monocyte and macrophage differentiation: circulation inflammatory monocyte as biomarker for inflammatory diseases
Published in
Biomarker Research, January 2014
DOI 10.1186/2050-7771-2-1
Pubmed ID
Authors

Jiyeon Yang, Lixiao Zhang, Caijia Yu, Xiao-Feng Yang, Hong Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 1,692 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 <1%
United States 6 <1%
United Kingdom 3 <1%
Canada 2 <1%
South Africa 1 <1%
India 1 <1%
Ireland 1 <1%
Netherlands 1 <1%
Indonesia 1 <1%
Other 2 <1%
Unknown 1668 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 379 22%
Student > Bachelor 258 15%
Student > Master 241 14%
Researcher 183 11%
Student > Doctoral Student 100 6%
Other 177 10%
Unknown 354 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 295 17%
Biochemistry, Genetics and Molecular Biology 288 17%
Immunology and Microbiology 236 14%
Medicine and Dentistry 236 14%
Pharmacology, Toxicology and Pharmaceutical Science 57 3%
Other 182 11%
Unknown 398 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 03 April 2024.
All research outputs
#823,519
of 25,837,817 outputs
Outputs from Biomarker Research
#6
of 389 outputs
Outputs of similar age
#8,489
of 321,926 outputs
Outputs of similar age from Biomarker Research
#1
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 389 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 98% 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 321,926 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 97% of its contemporaries.
We're also able to compare this research output to 3 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