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Feasibility and diagnostic accuracy of Telephone Administration of an adapted wound heaLing QuestiONnaire for assessment for surgical site infection following abdominal surgery in low and middle-income…

Overview of attention for article published in Trials, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
4 Mendeley
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Title
Feasibility and diagnostic accuracy of Telephone Administration of an adapted wound heaLing QuestiONnaire for assessment for surgical site infection following abdominal surgery in low and middle-income countries (TALON): protocol for a study within a trial (SWAT)
Published in
Trials, July 2021
DOI 10.1186/s13063-021-05398-z
Pubmed ID
Authors

James Glasbey, Victoria Adeyeye, Adesoji Ademuyiwa, Alisha Bhatt, Bruce Biccard, Jane Blazeby, Peter Brocklehurst, Sohini Chakrabortee, Jean De La Croix Allen Ingabire, Francis Moïse Dossou, Irani Durán, Rohini Dutta, Dhruv Ghosh, Frank Gyamfi, Parvez Haque, Pollyanna Hardy, Gabriella Hyman, Ritu Jain, Oluwaseun Ladipo-Ajayi, Ismail Lawani, Souliath Lawani, Mwayi Kachapila, Karolin Kroese, Rachel Lillywhite, Rhiannon Macefield, Laura Magill, Janet Martin, Jonathan Mathers, Punam Mistry, Rohin Mittal, Mark Monahan, Rachel Moore, Dion Morton, Faustin Ntirenganya, Emmanuel Ofori, Rupert Pearse, Alberto Peón, Thomas Pinkney, Antonio Ramos de la Medina, Tubasiime Ronald, David Roman, Anita Slade, Stephen Tabiri, Donna Smith, Aneel Bhangu

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 August 2021.
All research outputs
#3,271,061
of 18,812,670 outputs
Outputs from Trials
#1,300
of 4,873 outputs
Outputs of similar age
#59,809
of 278,706 outputs
Outputs of similar age from Trials
#1
of 1 outputs
Altmetric has tracked 18,812,670 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,873 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 73% 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 278,706 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 78% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them