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Attention Score in Context
| Title |
In search for an explanation to the upsurge in infant mortality in Kenya during the 1988–2003 period
|
|---|---|
| Published in |
BMC Public Health, June 2012
|
| DOI | 10.1186/1471-2458-12-441 |
| Pubmed ID | |
| Authors |
Sam W Wafula, Lawrence DE Ikamari, Boniface O K’Oyugi |
| Abstract |
In Kenya, infant mortality rate increased from 59 deaths per 1000 live births in 1988 to 78 deaths per 1000 live births by 2003. This was an increase of about 32 percent in 15 years. The reasons behind this upturn are poorly understood. This paper investigates the probable factors behind the upsurge in infant mortality in Kenya during the 1988-2003 period. Understanding the causes behind the upsurge is critical in designing high impact public health strategies for the acceleration of national and international public health goals such as the Millennium Development Goals (MDGs). The reversals in early child mortality is also regarded as one of the most important topics in contemporary demography. |
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% |
| South Africa | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Rwanda | 1 | 1% |
| Kenya | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 81 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 25% |
| Researcher | 13 | 15% |
| Student > Bachelor | 9 | 11% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 18 | 21% |
| Medicine and Dentistry | 17 | 20% |
| Social Sciences | 11 | 13% |
| Psychology | 4 | 5% |
| Business, Management and Accounting | 3 | 4% |
| Other | 16 | 19% |
| Unknown | 16 | 19% |
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 23 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from BMC Public Health
#10,254
of 14,746 outputs
Outputs of similar age
#96,468
of 164,521 outputs
Outputs of similar age from BMC Public Health
#178
of 270 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% 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 164,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.