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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring Coverage in MNCH: A Validation Study Linking Population Survey Derived Coverage to Maternal, Newborn, and Child Health Care Records in Rural China
|
|---|---|
| Published in |
PLOS ONE, May 2013
|
| DOI | 10.1371/journal.pone.0060762 |
| Pubmed ID | |
| Authors |
Li Liu, Mengying Li, Li Yang, Lirong Ju, Biqin Tan, Neff Walker, Jennifer Bryce, Harry Campbell, Robert E. Black, Yan Guo |
| Abstract |
Accurate data on coverage of key maternal, newborn, and child health (MNCH) interventions are crucial for monitoring progress toward the Millennium Development Goals 4 and 5. Coverage estimates are primarily obtained from routine population surveys through self-reporting, the validity of which is not well understood. We aimed to examine the validity of the coverage of selected MNCH interventions in Gongcheng County, China. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 19 | 14% |
| Student > Master | 19 | 14% |
| Student > Doctoral Student | 11 | 8% |
| Student > Postgraduate | 10 | 7% |
| Other | 25 | 18% |
| Unknown | 32 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 27% |
| Social Sciences | 16 | 12% |
| Nursing and Health Professions | 14 | 10% |
| Psychology | 7 | 5% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 18 | 13% |
| Unknown | 41 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 May 2013.
All research outputs
#2,804,904
of 22,709,015 outputs
Outputs from PLOS ONE
#36,341
of 193,901 outputs
Outputs of similar age
#24,784
of 193,543 outputs
Outputs of similar age from PLOS ONE
#845
of 4,936 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 80% 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 193,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4,936 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.