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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
Human Immunodeficiency Virus Infection and Diverse Physical Health Outcomes: An Umbrella Review of Meta-analyses of Observational Studies
|
---|---|
Published in |
Clinical Infectious Diseases, August 2019
|
DOI | 10.1093/cid/ciz539 |
Pubmed ID | |
Authors |
Igor Grabovac, Nicola Veronese, Sinisa Stefanac, Sandra Haider, Sarah E Jackson, Ai Koyanagi, Michael Meilinger, Brendon Stubbs, Joseph Firth, Pinar Soysal, Francesco Di Gennaro, Jacopo Demurtas, Daragh T McDermott, Adam D Abbs, Lin Yang, Lee Smith |
Twitter Demographics
The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 38% |
Germany | 2 | 13% |
Italy | 2 | 13% |
United States | 1 | 6% |
Canada | 1 | 6% |
Austria | 1 | 6% |
Brazil | 1 | 6% |
Unknown | 2 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 63% |
Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 13% |
Student > Ph. D. Student | 7 | 10% |
Student > Bachelor | 7 | 10% |
Unspecified | 5 | 7% |
Student > Doctoral Student | 3 | 4% |
Other | 12 | 17% |
Unknown | 27 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 21% |
Unspecified | 5 | 7% |
Nursing and Health Professions | 5 | 7% |
Social Sciences | 4 | 6% |
Immunology and Microbiology | 3 | 4% |
Other | 10 | 14% |
Unknown | 28 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 179. 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 17 September 2019.
All research outputs
#191,622
of 23,153,849 outputs
Outputs from Clinical Infectious Diseases
#436
of 15,863 outputs
Outputs of similar age
#4,043
of 343,569 outputs
Outputs of similar age from Clinical Infectious Diseases
#4
of 257 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.9. This one has done particularly well, scoring higher than 97% 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 343,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.