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Twitter Demographics
Mendeley readers
Attention Score in Context
| 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. |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 67% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 13% |
| Researcher | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Postgraduate | 7 | 8% |
| Other | 23 | 26% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 38% |
| Agricultural and Biological Sciences | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Nursing and Health Professions | 5 | 6% |
| Immunology and Microbiology | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 22 | 24% |
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.