You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance criteria for verbal autopsy-based systems to estimate national causes of death: development and application to the Indian Million Death Study
|
|---|---|
| Published in |
BMC Medicine, February 2014
|
| DOI | 10.1186/1741-7015-12-21 |
| Pubmed ID | |
| Authors |
Lukasz Aleksandrowicz, Varun Malhotra, Rajesh Dikshit, Prakash C Gupta, Rajesh Kumar, Jay Sheth, Suresh Kumar Rathi, Wilson Suraweera, Pierre Miasnikof, Raju Jotkar, Dhirendra Sinha, Shally Awasthi, Prakash Bhatia, Prabhat Jha |
| Abstract |
Verbal autopsy (VA) has been proposed to determine the cause of death (COD) distributions in settings where most deaths occur without medical attention or certification. We develop performance criteria for VA-based COD systems and apply these to the Registrar General of India's ongoing, nationally-representative Indian Million Death Study (MDS). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 120 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 16% |
| Student > Master | 17 | 14% |
| Student > Ph. D. Student | 15 | 12% |
| Student > Postgraduate | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 22 | 18% |
| Unknown | 33 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 34% |
| Social Sciences | 14 | 11% |
| Nursing and Health Professions | 9 | 7% |
| Agricultural and Biological Sciences | 3 | 2% |
| Computer Science | 2 | 2% |
| Other | 12 | 10% |
| Unknown | 40 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 08 December 2023.
All research outputs
#2,041,585
of 24,337,175 outputs
Outputs from BMC Medicine
#1,376
of 3,742 outputs
Outputs of similar age
#24,160
of 316,939 outputs
Outputs of similar age from BMC Medicine
#22
of 59 outputs
Altmetric has tracked 24,337,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one has gotten more attention than average, scoring higher than 63% 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 316,939 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 92% of its contemporaries.
We're also able to compare this research output to 59 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 64% of its contemporaries.