↓ Skip to main content

Simple-to-use nomogram for predicting the risk of syphilis among MSM in Guangdong Province: results from a serial cross-sectional study

Overview of attention for article published in BMC Infectious Diseases, November 2021
Altmetric Badge

Mentioned by

reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Simple-to-use nomogram for predicting the risk of syphilis among MSM in Guangdong Province: results from a serial cross-sectional study
Published in
BMC Infectious Diseases, November 2021
DOI 10.1186/s12879-021-06912-z
Pubmed ID
Authors

Peizhen Zhao, Ziying Yang, Baohui Li, Mingzhou Xiong, Ye Zhang, Jiyuan Zhou, Cheng Wang

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 %
Student > Master 2 18%
Student > Doctoral Student 1 9%
Lecturer 1 9%
Unknown 7 64%
Readers by discipline Count As %
Business, Management and Accounting 1 9%
Computer Science 1 9%
Immunology and Microbiology 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 31 January 2022.
All research outputs
#20,466,701
of 23,025,074 outputs
Outputs from BMC Infectious Diseases
#6,522
of 7,724 outputs
Outputs of similar age
#413,137
of 505,260 outputs
Outputs of similar age from BMC Infectious Diseases
#145
of 182 outputs
Altmetric has tracked 23,025,074 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 7,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 505,260 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 182 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.