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Transcriptome Analysis Reveals the Molecular Immunological Characteristics of Lesions in Patients with Halo Nevi When Compared to Stable Vitiligo, Normal Nevocytic Nevi and Cutaneous Melanoma

Overview of attention for article published in Journal of Inflammation Research, August 2021
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1 X user

Citations

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Title
Transcriptome Analysis Reveals the Molecular Immunological Characteristics of Lesions in Patients with Halo Nevi When Compared to Stable Vitiligo, Normal Nevocytic Nevi and Cutaneous Melanoma
Published in
Journal of Inflammation Research, August 2021
DOI 10.2147/jir.s321672
Pubmed ID
Authors

Chun Pan, Jingzhe Shang, Haiqin Jiang, Ying Shi, Wenyue Zhang, Jingshu Xiong, Youming Mei, Siyu Long, Gai Ge, Zhenzhen Wang, Ziwei Wu, Hongsheng Wang, Aiping Wu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 18%
Professor > Associate Professor 1 9%
Unknown 8 73%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Computer Science 1 9%
Unknown 8 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Journal of Inflammation Research
#639
of 828 outputs
Outputs of similar age
#358,471
of 433,600 outputs
Outputs of similar age from Journal of Inflammation Research
#69
of 92 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 433,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.