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The WHO Maternal Near-Miss Approach and the Maternal Severity Index Model (MSI): Tools for Assessing the Management of Severe Maternal Morbidity

Overview of attention for article published in PLOS ONE, August 2012
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Title
The WHO Maternal Near-Miss Approach and the Maternal Severity Index Model (MSI): Tools for Assessing the Management of Severe Maternal Morbidity
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0044129
Pubmed ID
Authors

Joao Paulo Souza, Jose Guilherme Cecatti, Samira M. Haddad, Mary Angela Parpinelli, Maria Laura Costa, Leila Katz, Lale Say, Elson J Almeida, Eliana M Amaral, Melania M Amorim, Carla B Andreucci, Márcia M Aquino, Maria V Bahamondes, Antonio C Barbosa Lima, Frederico Barroso, Adriana Bione, Ione R Brum, Iracema M Calderon, Rodrigo S Camargo, Felipe F Campanharo, Luiz E Carvalho, Simone A Carvalho, José G Cecatti, George N Chaves, Eduardo Cordioli, Maria L Costa, Roberto A Costa, Sergio M Costa, Francisco E Feitosa, Djacyr M Freire, Simone P Gonçalves, Everardo M Guanabara, Daniela Guimarães, Lúcio T Gurgel, Samira M Haddad, Leila Katz, Debora Leite, Moises D Lima, Gustavo Lobato, Fátima A Lotufo, Adriana G Luz, Nelson L Maia Filho, Marilia G Martins, Jacinta P Matias, Rosiane Mattar, Carlos A Menezes, Elaine C Moises, Olímpio B Moraes Filho, Joaquim L Moreira, Marcos Nakamura-Pereira, Denis J Nascimento, Maria H Ohnuma, Fernando C Oliveira, Rodolfo C Pacagnella, Cláudio S Paiva, Mary A Parpinelli, Robert C Pattinson, Liv B Paula, Jose C Peraçoli, Frederico A Peret, Cynthia D Perez, Cleire Pessoni, Alessandra Peterossi, Lucia C Pfitscher, João L Pinto e Silva, Silvana M Quintana, Ivelyne Radaci, Edilberto A Rocha Filho, Simone M Rodrigues, Roger D Rohloff, Marilza V Rudge, Gloria C Saint'ynes, Danielly S Santana, Patricia N Santos, Lale Say, Luiza E Schmaltz, Maria H Sousa, Maria R Sousa, Joäo P Souza, Fernanda G Surita, Elvira A Zanette, Vilma Zotareli

Abstract

To validate the WHO maternal near-miss criteria and develop a benchmark tool for severe maternal morbidity assessments.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 2%
Indonesia 2 <1%
Kenya 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 275 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 17%
Student > Postgraduate 39 14%
Researcher 27 9%
Student > Ph. D. Student 26 9%
Student > Doctoral Student 23 8%
Other 75 26%
Unknown 49 17%
Readers by discipline Count As %
Medicine and Dentistry 145 51%
Nursing and Health Professions 35 12%
Social Sciences 17 6%
Business, Management and Accounting 7 2%
Psychology 4 1%
Other 21 7%
Unknown 58 20%
Attention Score in Context

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 28 October 2014.
All research outputs
#15,308,698
of 22,768,097 outputs
Outputs from PLOS ONE
#130,481
of 194,212 outputs
Outputs of similar age
#108,315
of 170,255 outputs
Outputs of similar age from PLOS ONE
#2,827
of 4,363 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% 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 170,255 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,363 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.