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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnostic accuracy of whole-body MRI versus standard imaging pathways for metastatic disease in newly diagnosed non-small-cell lung cancer: the prospective Streamline L trial
|
|---|---|
| Published in |
The Lancet Respiratory Medicine, May 2019
|
| DOI | 10.1016/s2213-2600(19)30090-6 |
| Pubmed ID | |
| Authors |
Stuart A Taylor, Sue Mallett, Simon Ball, Sandy Beare, Gauraang Bhatnagar, Angshu Bhowmik, Peter Boavida, John Bridgewater, Caroline S Clarke, Marian Duggan, Steve Ellis, Robert Glynne-Jones, Vicky Goh, Ashley M Groves, Ayshea Hameeduddin, Sam M Janes, Edward W Johnston, Dow-Mu Koh, Sara Lock, Anne Miles, Stephen Morris, Alison Morton, Neal Navani, Alfred Oliver, Terry O'Shaughnessy, Anwar R Padhani, David Prezzi, Shonit Punwani, Laura Quinn, Hameed Rafiee, Krystyna Reczko, Andrea G Rockall, Peter Russell, Harbir S Sidhu, Nicola Strickland, Kathryn Tarver, Jonathan Teague, Steve Halligan, Streamline investigators, Ruth Evans, Khawaja Shahabuddin, Revanth Jannapureddy, Tina Mills-Baldock, Kishor Barhate, Zoltan Nagy, Sherif Raouf, Akosa Aboagye, Girija Anand, Rommel Butawan, Elizabeth Hadley, Adesewa Onajobi, Mohamed A Thaha, Tanjil Nawaz, Catherine Norman, Nathalie Rich, Sidra Tulmuntaha, Shafi Ahmed, Louise Lim, Fiona McKirdy, Jenna Couture, Shahanara Ferdous, Payal Julka, Ali Mohammed, Helen Pardoe, Sanjaya Wijeyekoon, Katherine Van Ree, Dominic Blunt, William Ricketts, Marie Jackson, Clive Kay, Andy Lowe, Janet McGowan, Amjad Mohammed, Jon Robinson, Lara Curry, Sasithar Maheswaran, Subramanian Ramesh, Pippa Riddle, Shaki Balogun, Yvonne Campbell, Nelesh Jeyadevan, Aji Kavidasan, Imogen Locke, Tuck-Kay Loke, Ibiyemi Olaleye, Clare Collins, Elizabeth Green, Colm Prendergast, Thida Win, Amy Davis, Lyn Blakeway, Sofia Gourtsoyianni, Adrian Green, Christian Kelly-Morland, Sahar Naaseri, John O'Donohue, David Snell, Dorothee Boisfer, Keyury Desai, Balinder Hans, Sophia Hans, Eleni Ntala, Adnam Alam, Stephen Burke, Matthew Train, Nishat Bharwani, Gule Hanid, Lesley Honeyfield, Tina Stoycheva, Uday Patel, Farid Bazari, Helen Beedham, Jane De Los, Reyes Lauigan, Priya Limbu, Nicola Lucas, Sally O'Connor, Anita Rhodes, Laletha Agoramoorthy, Martha Handousa, Abel Jalloh, Stefania Stegner, Shanna Wilson, David Birch, Suzanne Chukundah, Priscilla Phiri, Raj Srirajaskanthan, Eleni Karapanagiotou, Daniel Smith, Ferrial Syeed, Chloe van Someren, Rudi Borgstein, Jamila Roehrig, David Chao, Lorraine Hurl, Andrew Gogbashian, Andre Nunes, Ian Simcock, James Stirling, Richard Beable, Maureen Furneaux, Nicola Gibbons, Antony Higginson, Howard Curtis, Kitrick Perry, Anita Amadi, Heather Hughes, Prital Patel, Gary Atkin, Colin Elton, Stephen Karp, Lisa Woodrow, Dominic Yu, Sajid Khan, Alistair Rienhardt, Pooja Datt, Rajapandian Ilangovan, Ian Jenkins, Saba Mahmud, Teresa Light, Joanne Kellaway, Ann O'Callaghan, William Partridge, Amelia Daniel, Ugo Ekeowa, Michael Long, Erica Scurr, Veronica Morgan, Nina Tunariu, Elizabeth Chang, Laura Hughes, Ellice Marwood, Katie Prior, Meena Reddi, Kara Sargus, Abby Sharp, Teresita Beeston, Elizabeth Isaac, Adoracion Jayme, Jagadish Kalasthry, Wivijin Piga, Farzana Rahman, Shraddha Weir, Aileen Austria, James Crosbie, Alec Engledow, Jonathan McCullogh, Austen Obichere, Kai-Keen Shiu, Christopher Wanstall, Celia Simeon, Amy Smith, Andrew Bateman, David Breen, Liane Davis, Chris Everitt, Alice Johnson, Paul Nichols, Beth Shepherd, Kayleigh Gilbert, Azmina Verjee, Michelle Saull, Jonathan Wilson, Rashidat Adeniba, Veronica Conteh, Sarah Howling |
X Demographics
The data shown below were collected from the profiles of 88 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 Kingdom | 27 | 31% |
| United States | 12 | 14% |
| Italy | 4 | 5% |
| Belgium | 2 | 2% |
| Australia | 2 | 2% |
| Brazil | 1 | 1% |
| Jordan | 1 | 1% |
| Peru | 1 | 1% |
| Canada | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 30 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 44 | 50% |
| Practitioners (doctors, other healthcare professionals) | 27 | 31% |
| Scientists | 15 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 14% |
| Student > Ph. D. Student | 13 | 10% |
| Other | 10 | 8% |
| Student > Postgraduate | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 31 | 23% |
| Unknown | 41 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 55 | 42% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Nursing and Health Professions | 3 | 2% |
| Computer Science | 3 | 2% |
| Psychology | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 51 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 170. 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 26 April 2020.
All research outputs
#237,859
of 25,394,764 outputs
Outputs from The Lancet Respiratory Medicine
#230
of 2,868 outputs
Outputs of similar age
#4,861
of 364,377 outputs
Outputs of similar age from The Lancet Respiratory Medicine
#2
of 68 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 78.9. This one has done particularly well, scoring higher than 91% 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 364,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.