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.
Mendeley readers
Attention Score in Context
| Title |
The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, July 2009
|
| DOI | 10.1073/pnas.0813248106 |
| Pubmed ID | |
| Authors |
Jan O. Korbel, Tal Tirosh-Wagner, Alexander Eckehart Urban, Xiao-Ning Chen, Maya Kasowski, Li Dai, Fabian Grubert, Chandra Erdman, Michael C. Gao, Ken Lange, Eric M. Sobel, Gillian M. Barlow, Arthur S. Aylsworth, Nancy J. Carpenter, Robin Dawn Clark, Monika Y. Cohen, Eric Doran, Tzipora Falik-Zaccai, Susan O. Lewin, Ira T. Lott, Barbara C. McGillivray, John B. Moeschler, Mark J. Pettenati, Siegfried M. Pueschel, Kathleen W. Rao, Lisa G. Shaffer, Mordechai Shohat, Alexander J. Van Riper, Dorothy Warburton, Sherman Weissman, Mark B. Gerstein, Michael Snyder, Julie R. Korenberg |
Mendeley readers
The data shown below were compiled from readership statistics for 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 4 | 1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 300 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 65 | 21% |
| Researcher | 60 | 19% |
| Student > Bachelor | 41 | 13% |
| Student > Master | 28 | 9% |
| Other | 17 | 5% |
| Other | 59 | 19% |
| Unknown | 46 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 93 | 29% |
| Biochemistry, Genetics and Molecular Biology | 52 | 16% |
| Medicine and Dentistry | 44 | 14% |
| Neuroscience | 22 | 7% |
| Psychology | 13 | 4% |
| Other | 36 | 11% |
| Unknown | 56 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 118. 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 12 December 2019.
All research outputs
#339,113
of 24,622,191 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#6,239
of 101,438 outputs
Outputs of similar age
#779
of 116,158 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#27
of 715 outputs
Altmetric has tracked 24,622,191 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 93% 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 116,158 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 715 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 96% of its contemporaries.