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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The completion of the Mammalian Gene Collection (MGC)
|
|---|---|
| Published in |
Genome Research, September 2009
|
| DOI | 10.1101/gr.095976.109 |
| Pubmed ID | |
| Authors |
Gary Temple, Daniela S. Gerhard, Rebekah Rasooly, Elise A. Feingold, Peter J. Good, Cristen Robinson, Allison Mandich, Jeffrey G. Derge, Jeanne Lewis, Debonny Shoaf, Francis S. Collins, Wonhee Jang, Lukas Wagner, Carolyn M. Shenmen, Leonie Misquitta, Carl F. Schaefer, Kenneth H. Buetow, Tom I. Bonner, Linda Yankie, Ming Ward, Lon Phan, Alex Astashyn, Garth Brown, Catherine Farrell, Jennifer Hart, Melissa Landrum, Bonnie L. Maidak, Michael Murphy, Terence Murphy, Bhanu Rajput, Lillian Riddick, David Webb, Janet Weber, Wendy Wu, Kim D. Pruitt, Donna Maglott, Adam Siepel, Brona Brejova, Mark Diekhans, Rachel Harte, Robert Baertsch, Jim Kent, David Haussler, Michael Brent, Laura Langton, Charles L.G. Comstock, Michael Stevens, Chaochun Wei, Marijke J. van Baren, Kourosh Salehi-Ashtiani, Ryan R. Murray, Lila Ghamsari, Elizabeth Mello, Chenwei Lin, Christa Pennacchio, Kirsten Schreiber, Nicole Shapiro, Amber Marsh, Elizabeth Pardes, Troy Moore, Anita Lebeau, Mike Muratet, Blake Simmons, David Kloske, Stephanie Sieja, James Hudson, Praveen Sethupathy, Michael Brownstein, Narayan Bhat, Joseph Lazar, Howard Jacob, Chris E. Gruber, Mark R. Smith, John McPherson, Angela M. Garcia, Preethi H. Gunaratne, Jiaqian Wu, Donna Muzny, Richard A. Gibbs, Alice C. Young, Gerard G. Bouffard, Robert W. Blakesley, Jim Mullikin, Eric D. Green, Mark C. Dickson, Alex C. Rodriguez, Jane Grimwood, Jeremy Schmutz, Richard M. Myers, Martin Hirst, Thomas Zeng, Kane Tse, Michelle Moksa, Merinda Deng, Kevin Ma, Diana Mah, Johnson Pang, Greg Taylor, Eric Chuah, Athena Deng, Keith Fichter, Anne Go, Stephanie Lee, Jing Wang, Malachi Griffith, Ryan Morin, Richard A. Moore, Michael Mayo, Sarah Munro, Susan Wagner, Steven J.M. Jones, Robert A. Holt, Marco A. Marra, Sun Lu, Shuwei Yang, James Hartigan, Marcus Graf, Ralf Wagner, Stanley Letovksy, Jacqueline C. Pulido, Keith Robison, Dominic Esposito, James Hartley, Vanessa E. Wall, Ralph F. Hopkins, Osamu Ohara, Stefan Wiemann |
| Abstract |
Since its start, the Mammalian Gene Collection (MGC) has sought to provide at least one full-protein-coding sequence cDNA clone for every human and mouse gene with a RefSeq transcript, and at least 6200 rat genes. The MGC cloning effort initially relied on random expressed sequence tag screening of cDNA libraries. Here, we summarize our recent progress using directed RT-PCR cloning and DNA synthesis. The MGC now contains clones with the entire protein-coding sequence for 92% of human and 89% of mouse genes with curated RefSeq (NM-accession) transcripts, and for 97% of human and 96% of mouse genes with curated RefSeq transcripts that have one or more PubMed publications, in addition to clones for more than 6300 rat genes. These high-quality MGC clones and their sequences are accessible without restriction to researchers worldwide. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United States | 2 | 1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| China | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 157 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 27% |
| Student > Ph. D. Student | 31 | 19% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 11 | 7% |
| Professor | 11 | 7% |
| Other | 28 | 17% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 45% |
| Biochemistry, Genetics and Molecular Biology | 46 | 28% |
| Medicine and Dentistry | 8 | 5% |
| Immunology and Microbiology | 3 | 2% |
| Neuroscience | 3 | 2% |
| Other | 12 | 7% |
| Unknown | 18 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 09 November 2022.
All research outputs
#2,267,260
of 25,373,627 outputs
Outputs from Genome Research
#1,120
of 4,425 outputs
Outputs of similar age
#7,287
of 106,729 outputs
Outputs of similar age from Genome Research
#10
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 74% 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 106,729 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 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.