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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2011
|
| DOI | 10.1186/1472-6947-11-40 |
| Pubmed ID | |
| Authors |
Mattia CF Prosperi, Simona Di Giambenedetto, Iuri Fanti, Genny Meini, Bianca Bruzzone, Annapaola Callegaro, Giovanni Penco, Patrizia Bagnarelli, Valeria Micheli, Elisabetta Paolini, Antonio Di Biagio, Valeria Ghisetti, Massimo Di Pietro, Maurizio Zazzi, Andrea De Luca, the ARCA cohort |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Brazil | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | 3% |
| Belgium | 1 | 3% |
| Tanzania, United Republic of | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Student > Master | 8 | 21% |
| Researcher | 5 | 13% |
| Other | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 31% |
| Agricultural and Biological Sciences | 6 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Engineering | 3 | 8% |
| Mathematics | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 August 2011.
All research outputs
#14,258,446
of 23,292,144 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,088
of 2,023 outputs
Outputs of similar age
#80,639
of 114,958 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 21 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 114,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.