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Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
34 news outlets
blogs
5 blogs
twitter
35 X users
patent
2 patents

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
228 Mendeley
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Title
Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology
Published in
Proceedings of the National Academy of Sciences of the United States of America, March 2018
DOI 10.1073/pnas.1801093115
Pubmed ID
Authors

Daniel H. Adler, Laura E. M. Wisse, Ranjit Ittyerah, John B. Pluta, Song-Lin Ding, Long Xie, Jiancong Wang, Salmon Kadivar, John L. Robinson, Theresa Schuck, John Q. Trojanowski, Murray Grossman, John A. Detre, Mark A. Elliott, Jon B. Toledo, Weixia Liu, Stephen Pickup, Michael I. Miller, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 22%
Researcher 39 17%
Student > Bachelor 22 10%
Student > Master 17 7%
Student > Doctoral Student 13 6%
Other 44 19%
Unknown 42 18%
Readers by discipline Count As %
Neuroscience 62 27%
Psychology 21 9%
Medicine and Dentistry 20 9%
Agricultural and Biological Sciences 11 5%
Computer Science 9 4%
Other 31 14%
Unknown 74 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 307. 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 December 2023.
All research outputs
#113,430
of 25,998,826 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#2,439
of 104,359 outputs
Outputs of similar age
#2,747
of 348,171 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#56
of 1,031 outputs
Altmetric has tracked 25,998,826 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 104,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 97% 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 348,171 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 99% of its contemporaries.
We're also able to compare this research output to 1,031 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 94% of its contemporaries.