↓ Skip to main content

Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries

Overview of attention for article published in BMC Health Services Research, August 2020
Altmetric Badge

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
54 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Labour and delivery ward register data availability, quality, and utility - Every Newborn - birth indicators research tracking in hospitals (EN-BIRTH) study baseline analysis in three countries
Published in
BMC Health Services Research, August 2020
DOI 10.1186/s12913-020-5028-7
Pubmed ID
Authors

Louise Tina Day, Georgia R. Gore-Langton, Ahmed Ehsanur Rahman, Omkar Basnet, Josephine Shabani, Tazeen Tahsina, Asmita Poudel, Kizito Shirima, Shafiqul Ameen, Ashish K.C., Nahya Salim, Sojib Bin Zaman, Donat Shamba, Hannah Blencowe, Harriet Ruysen, Shams El Arifeen, Dorothy Boggs, Vladimir S. Gordeev, Qazi Sadeq-ur Rahman, Tanvir Hossain, Elisha Joshi, Sabu Thapa, Rajendra Prasad Poudel, Durga Poudel, Priyanka Chaudhary, Rabina Karki, Bibek Chitrakar, Namala Mkopi, Anna Wisiko, Alodear Patrick Kitende, Marystella Revocatus Shirati, Christostomus Chingalo, Amina Omari Semhando, Cleopatra Mtei, Victoria Mwenisongole, John Mathias Bakuza, Japhet Kombo, Godfrey Mbaruku, Joy E. Lawn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 26%
Researcher 5 9%
Student > Bachelor 4 7%
Unspecified 3 6%
Student > Ph. D. Student 3 6%
Other 7 13%
Unknown 18 33%
Readers by discipline Count As %
Nursing and Health Professions 10 19%
Medicine and Dentistry 10 19%
Unspecified 3 6%
Economics, Econometrics and Finance 3 6%
Computer Science 2 4%
Other 5 9%
Unknown 21 39%