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Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets

Overview of attention for article published in Population Health Metrics, August 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
168 Mendeley
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Title
Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets
Published in
Population Health Metrics, August 2011
DOI 10.1186/1478-7954-9-27
Pubmed ID
Authors

Christopher JL Murray, Alan D Lopez, Robert Black, Ramesh Ahuja, Said Mohd Ali, Abdullah Baqui, Lalit Dandona, Emily Dantzer, Vinita Das, Usha Dhingra, Arup Dutta, Wafaie Fawzi, Abraham D Flaxman, Sara Gómez, Bernardo Hernández, Rohina Joshi, Henry Kalter, Aarti Kumar, Vishwajeet Kumar, Rafael Lozano, Marilla Lucero, Saurabh Mehta, Bruce Neal, Summer Lockett Ohno, Rajendra Prasad, Devarsetty Praveen, Zul Premji, Dolores Ramírez-Villalobos, Hazel Remolador, Ian Riley, Minerva Romero, Mwanaidi Said, Diozele Sanvictores, Sunil Sazawal, Veronica Tallo

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Australia 1 <1%
South Africa 1 <1%
India 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 162 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 21%
Student > Master 32 19%
Student > Ph. D. Student 17 10%
Professor > Associate Professor 12 7%
Student > Bachelor 9 5%
Other 29 17%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 58 35%
Social Sciences 18 11%
Nursing and Health Professions 16 10%
Agricultural and Biological Sciences 8 5%
Mathematics 5 3%
Other 21 13%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 December 2017.
All research outputs
#6,976,330
of 22,873,031 outputs
Outputs from Population Health Metrics
#201
of 392 outputs
Outputs of similar age
#38,674
of 119,973 outputs
Outputs of similar age from Population Health Metrics
#6
of 19 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 47th percentile – i.e., 47% 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 119,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.