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Timing of progression from Chlamydia trachomatisinfection to pelvic inflammatory disease: a mathematical modelling study

Overview of attention for article published in BMC Infectious Diseases, August 2012
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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6 X users

Citations

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93 Mendeley
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Title
Timing of progression from Chlamydia trachomatisinfection to pelvic inflammatory disease: a mathematical modelling study
Published in
BMC Infectious Diseases, August 2012
DOI 10.1186/1471-2334-12-187
Pubmed ID
Authors

Sereina A Herzog, Christian L Althaus, Janneke CM Heijne, Pippa Oakeshott, Sally Kerry, Phillip Hay, Nicola Low

Abstract

Pelvic inflammatory disease (PID) results from the ascending spread of microorganisms from the vagina and endocervix to the upper genital tract. PID can lead to infertility, ectopic pregnancy and chronic pelvic pain. The timing of development of PID after the sexually transmitted bacterial infection Chlamydia trachomatis (chlamydia) might affect the impact of screening interventions, but is currently unknown. This study investigates three hypothetical processes for the timing of progression: at the start, at the end, or throughout the duration of chlamydia infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 13%
Student > Ph. D. Student 11 12%
Researcher 10 11%
Student > Bachelor 10 11%
Student > Doctoral Student 7 8%
Other 21 23%
Unknown 22 24%
Readers by discipline Count As %
Medicine and Dentistry 34 37%
Agricultural and Biological Sciences 11 12%
Nursing and Health Professions 5 5%
Biochemistry, Genetics and Molecular Biology 5 5%
Mathematics 3 3%
Other 9 10%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 August 2012.
All research outputs
#13,859,387
of 23,881,329 outputs
Outputs from BMC Infectious Diseases
#3,311
of 7,931 outputs
Outputs of similar age
#93,487
of 169,062 outputs
Outputs of similar age from BMC Infectious Diseases
#27
of 83 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 56% 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 169,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.