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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, December 2002
|
| DOI | 10.1073/pnas.242603899 |
| Pubmed ID | |
| Authors |
Robert L Strausberg, Elise A Feingold, Lynette H Grouse, Jeffery G Derge, Richard D Klausner, Francis S Collins, Lukas Wagner, Carolyn M Shenmen, Gregory D Schuler, Stephen F Altschul, Barry Zeeberg, Kenneth H Buetow, Carl F Schaefer, Narayan K Bhat, Ralph F Hopkins, Heather Jordan, Troy Moore, Steve I Max, Jun Wang, Florence Hsieh, Luda Diatchenko, Kate Marusina, Andrew A Farmer, Gerald M Rubin, Ling Hong, Mark Stapleton, M Bento Soares, Maria F Bonaldo, Tom L Casavant, Todd E Scheetz, Michael J Brownstein, Ted B Usdin, Shiraki Toshiyuki, Piero Carninci, Christa Prange, Sam S Raha, Naomi A Loquellano, Garrick J Peters, Rick D Abramson, Sara J Mullahy, Stephanie A Bosak, Paul J McEwan, Kevin J McKernan, Joel A Malek, Preethi H Gunaratne, Stephen Richards, Kim C Worley, Sarah Hale, Angela M Garcia, Laura J Gay, Stephen W Hulyk, Debbie K Villalon, Donna M Muzny, Erica J Sodergren, Xiuhua Lu, Richard A Gibbs, Jessica Fahey, Erin Helton, Mark Ketteman, Anuradha Madan, Stephanie Rodrigues, Amy Sanchez, Michelle Whiting, Anup Madan, Alice C Young, Yuriy Shevchenko, Gerard G Bouffard, Robert W Blakesley, Jeffrey W Touchman, Eric D Green, Mark C Dickson, Alex C Rodriguez, Jane Grimwood, Jeremy Schmutz, Richard M Myers, Yaron S N Butterfield, Martin I Krzywinski, Ursula Skalska, Duane E Smailus, Angelique Schnerch, Jacqueline E Schein, Steven J M Jones, Marco A Marra |
| Abstract |
The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http:mgc.nci.nih.gov). |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 801 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| United Kingdom | 9 | 1% |
| Germany | 7 | <1% |
| Denmark | 3 | <1% |
| Canada | 3 | <1% |
| India | 3 | <1% |
| China | 2 | <1% |
| Japan | 2 | <1% |
| Spain | 2 | <1% |
| Other | 18 | 2% |
| Unknown | 742 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 176 | 22% |
| Researcher | 174 | 22% |
| Student > Bachelor | 92 | 11% |
| Student > Master | 91 | 11% |
| Professor > Associate Professor | 54 | 7% |
| Other | 144 | 18% |
| Unknown | 70 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 351 | 44% |
| Biochemistry, Genetics and Molecular Biology | 173 | 22% |
| Medicine and Dentistry | 70 | 9% |
| Neuroscience | 33 | 4% |
| Chemistry | 21 | 3% |
| Other | 58 | 7% |
| Unknown | 95 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 April 2024.
All research outputs
#1,398,341
of 25,837,817 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#19,365
of 103,917 outputs
Outputs of similar age
#2,419
of 138,374 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#19
of 446 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 81% 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 138,374 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 97% of its contemporaries.
We're also able to compare this research output to 446 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.