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X Demographics
Mendeley readers
Attention Score in Context
Title |
Intuitive weights of harm for therapeutic decision making in smear-negative pulmonary Tuberculosis: an interview study of physicians in India, Pakistan and Bangladesh
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Published in |
BMC Medical Informatics and Decision Making, August 2014
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DOI | 10.1186/1472-6947-14-67 |
Pubmed ID | |
Authors |
Chandrashekhar T Sreeramareddy, Mahbubur Rahman, HN Harsha Kumar, Mohsin Shah, Ahmed Manadir Hossain, Md Abu Sayem, Juan M Moreira, Jef Van den Ende |
Abstract |
To estimate the amount of regret and weights of harm by omission and commission during therapeutic decisions for smear-negative pulmonary Tuberculosis. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
United States | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 33% |
Student > Ph. D. Student | 4 | 8% |
Student > Master | 4 | 8% |
Other | 3 | 6% |
Student > Bachelor | 2 | 4% |
Other | 9 | 18% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 39% |
Nursing and Health Professions | 5 | 10% |
Unspecified | 2 | 4% |
Mathematics | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 10% |
Unknown | 15 | 31% |
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 24 August 2014.
All research outputs
#7,229,557
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#702
of 2,025 outputs
Outputs of similar age
#67,880
of 232,242 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 29 outputs
Altmetric has tracked 23,577,761 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 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 64% 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 232,242 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 69% of its contemporaries.
We're also able to compare this research output to 29 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 58% of its contemporaries.