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Effect of case management on neonatal mortality due to sepsis and pneumonia

Overview of attention for article published in BMC Public Health, January 2011
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Mentioned by

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1 tweeter

Citations

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66 Dimensions

Readers on

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223 Mendeley
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Title
Effect of case management on neonatal mortality due to sepsis and pneumonia
Published in
BMC Public Health, January 2011
DOI 10.1186/1471-2458-11-s3-s13
Pubmed ID
Authors

Anita K M Zaidi, Hammad A Ganatra, Sana Syed, Simon Cousens, Anne CC Lee, Robert Black, Zulfiqar A Bhutta, Joy E Lawn

Abstract

Each year almost one million newborns die from infections, mostly in low-income countries. Timely case management would save many lives but the relative mortality effect of varying strategies is unknown. We have estimated the effect of providing oral, or injectable antibiotics at home or in first-level facilities, and of in-patient hospital care on neonatal mortality from pneumonia and sepsis for use in the Lives Saved Tool (LiST).

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
France 1 <1%
United Kingdom 1 <1%
India 1 <1%
Spain 1 <1%
Philippines 1 <1%
Unknown 216 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 20%
Researcher 35 16%
Student > Bachelor 21 9%
Student > Postgraduate 19 9%
Student > Ph. D. Student 13 6%
Other 43 19%
Unknown 47 21%
Readers by discipline Count As %
Medicine and Dentistry 94 42%
Social Sciences 22 10%
Nursing and Health Professions 20 9%
Agricultural and Biological Sciences 10 4%
Computer Science 5 2%
Other 24 11%
Unknown 48 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2012.
All research outputs
#7,762,070
of 12,372,633 outputs
Outputs from BMC Public Health
#6,316
of 8,418 outputs
Outputs of similar age
#71,372
of 128,042 outputs
Outputs of similar age from BMC Public Health
#136
of 195 outputs
Altmetric has tracked 12,372,633 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 17th percentile – i.e., 17% 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 128,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.