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The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.

Overview of attention for article published in International Journal of Surgical Pathology, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,042)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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60 X users

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6 Mendeley
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Title
The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification.
Published in
International Journal of Surgical Pathology, April 2024
DOI 10.1177/10668969241234321
Pubmed ID
Authors

Sherman Lin, Christopher Tran, Ela Bandari, Tommaso Romagnoli, Yueyang Li, Michael Chu, Abinaya S Amirthakatesan, Adam Dallmann, Andrii Kostiukov, Angel Panizo, Anjelica Hodgson, Anna R Laury, Antonio Polonia, Ashley E Stueck, Aswathy A Menon, Aurélien Morini, Birsen Özamrak, Caroline Cooper, Celestine Marie G Trinidad, Christian Eisenlöffel, Dauda E Suleiman, David Suster, David A Dorward, Eman A Aljufairi, Fiona Maclean, Gulen Gul, Irene Sansano, Irma E Erana-Rojas, Isidro Machado, Ivana Kholova, Jayanthi Karunanithi, Jean-Baptiste Gibier, Jefree J Schulte, Joshua J X Li, Jyoti R Kini, Katrina Collins, Laurence A Galea, Louis Muller, Luca Cima, Luiz M Nova-Camacho, Marcus Dabner, Matthew J Muscara, Matthew G Hanna, Mehdi Agoumi, Nicholas J P Wiebe, Nicola K Oswald, Nusrat Zahra, Olaleke O Folaranmi, Oleksandr Kravtsov, Orhan Semerci, Namrata N Patil, Preethi Muthusamy Sundar, Prem Charles, Priyadarshini Kumaraswamy Rajeswaran, Qi Zhang, Rachael van der Griend, Raghavendra Pillappa, Raul Perret, Raul S Gonzalez, Robyn C Reed, Sachin Patil, Xiaoyin Sara Jiang, Sumaira Qayoom, Susan Prendeville, Swikrity U Baskota, Thanh-Truc Tran, Thar-Htet San, Tiia-Maria Kukkonen, Timothy J Kendall, Toros Taskin, Tristan Rutland, Varsha Manucha, Vincent Cockenpot, Yale Rosen, Yessica P Rodriguez-Velandia, Zehra Ordulu, Matthew J Cecchini

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X Demographics

X Demographics

The data shown below were collected from the profiles of 60 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 17%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Neuroscience 1 17%
Business, Management and Accounting 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 03 September 2024.
All research outputs
#1,100,595
of 26,571,961 outputs
Outputs from International Journal of Surgical Pathology
#4
of 1,042 outputs
Outputs of similar age
#17,346
of 337,101 outputs
Outputs of similar age from International Journal of Surgical Pathology
#1
of 20 outputs
Altmetric has tracked 26,571,961 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,042 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 337,101 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 94% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.