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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mammary Gland Development
|
|---|---|
| Published by |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6475-8 |
| Pubmed ID | |
| ISBNs |
978-1-4939-6473-4, 978-1-4939-6475-8
|
| Authors |
McNally, Sara, Stein, Torsten |
| Editors |
Finian Martin, Torsten Stein, Jillian Howlin |
| Abstract |
The mouse mammary gland is widely used as a model for human breast cancer and has greatly added to our understanding of the molecular mechanisms involved in breast cancer development and progression. To fully appreciate the validity and limitations of the mouse model, it is essential to be aware of the similarities and also the differences that exist between the mouse mammary gland and the human breast. This introduction therefore describes the parallels and contrasts in mouse mammary gland and human breast morphogenesis from an early embryonic phase through to puberty, adulthood, pregnancy, parturition, and lactation, and finally the regressive stage of involution. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 100% |
| Student > Master | 12 | 67% |
| Student > Bachelor | 11 | 61% |
| Researcher | 8 | 44% |
| Student > Doctoral Student | 7 | 39% |
| Other | 13 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 156% |
| Agricultural and Biological Sciences | 11 | 61% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 44% |
| Immunology and Microbiology | 4 | 22% |
| Medicine and Dentistry | 3 | 17% |
| Other | 9 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 November 2016.
All research outputs
#13,811,806
of 23,408,972 outputs
Outputs from Methods in molecular biology
#3,742
of 13,324 outputs
Outputs of similar age
#215,024
of 423,235 outputs
Outputs of similar age from Methods in molecular biology
#329
of 1,074 outputs
Altmetric has tracked 23,408,972 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 423,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 68% of its contemporaries.