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IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19

Overview of attention for article published in Molecular Medicine, October 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 (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
209 Dimensions

Readers on

mendeley
208 Mendeley
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Title
IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19
Published in
Molecular Medicine, October 2020
DOI 10.1186/s10020-020-00230-x
Pubmed ID
Authors

Yu Chen, Jinglan Wang, Chenxi Liu, Longxiang Su, Dong Zhang, Junping Fan, Yanli Yang, Meng Xiao, Jing Xie, Yingchun Xu, Yongzhe Li, Shuyang Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 15%
Researcher 22 11%
Student > Master 16 8%
Student > Doctoral Student 16 8%
Other 15 7%
Other 35 17%
Unknown 72 35%
Readers by discipline Count As %
Medicine and Dentistry 46 22%
Biochemistry, Genetics and Molecular Biology 21 10%
Immunology and Microbiology 18 9%
Nursing and Health Professions 13 6%
Agricultural and Biological Sciences 5 2%
Other 24 12%
Unknown 81 39%
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 30 October 2023.
All research outputs
#4,212,264
of 24,707,218 outputs
Outputs from Molecular Medicine
#174
of 1,242 outputs
Outputs of similar age
#97,780
of 426,615 outputs
Outputs of similar age from Molecular Medicine
#4
of 20 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,242 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 85% 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 426,615 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 76% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.